GCPAWS Vision API

The GCPAWS Vision API delivers a robust set of image analysis features powered by advanced pre-trained machine learning models, combining the strengths of Google Cloud Vision and AWS Rekognition into a single, user-friendly interface.

The GCPAWS Vision API offers a comprehensive suite of features for analyzing images using pre-trained machine learning models. It provides the best of both Google Cloud Vision APIs and AWS Rekognition APIs all under a simplified, consumable interface at a reduced cost. These features allow developers to extract valuable information from images and integrate visual intelligence into their applications.
 
 
Vision Features:
 
  • Face Detection: Locates human faces within an image and provides bounding polygons around each face. It can also identify facial "landmarks" such as eyes, nose, mouth, and ears, along with confidence values. Additionally, it estimates emotional states (joy, sorrow, anger, surprise) and general face properties (underexposed, blurred, headwear).
  • Face Matching: Leverage the power of AWS Rekognition services to to perform a biometric match between a source face image and a target face image
  • Celebrity Search: AWS Celebrity recognition automatically recognize tens of thousands of well-known personalities in images and videos using machine learning. The metadata provided by the celebrity recognition API significantly reduces the repetitive manual effort required to tag content and make it readily searchable.
  • Label Detection: Identifies objects, locations, activities, animal species, products, and more present in an image, providing descriptive labels and confidence scores. This is useful for automatic image tagging and categorization.
  • Text Detection (OCR): Performs Optical Character Recognition (OCR) to extract text from images. It identifies and extracts UTF-8 text, providing bounding boxes for words and the recognized text. It's optimized for sparse text areas within larger images.
  • Safe Search Detection: Detects explicit content within an image across categories like adult, spoof, medical, violence, and racy, providing likelihood ratings for each. This is crucial for content moderation.
  • Logo Detection: Detects common product and brand logos within an image and provides bounding boxes and confidence scores.
  • Landmark Detection: Identifies popular natural and human-made landmarks in an image and provides their name, geographic coordinates (latitude and longitude), and a bounding box.
  • Web Detection: Discovers web references to an image by identifying Web Entities, Matching Images and Best Guess Labels

 

Example Usage - Python

import requests
import json
url = "https://zylalabs.com/api/6606/gcpaws+vision+api/9696/labeldetection"
payload = json.dumps({
  "image": "/9j/A...[REPLACE_WITH_BASE64_ENCODED_IMAGE_DATA].../9k=",
})
headers = {
  'Content-Type': 'application/json',
  'Authorization': '[REPLACE_WITH_YOUR_API_TOKEN]',
}
response = requests.request("POST", url, headers=headers, data=payload)
print(response.text)
 

API Documentation

Endpoints


Locates human faces within an image and provides bounding polygons around each face. It can also identify facial "landmarks" such as eyes, nose, mouth, and ears, along with confidence values. Additionally, it estimates emotional states (joy, sorrow, anger, surprise) and general face properties (underexposed, blurred, headwear).



                                                                            
POST https://zylalabs.com/api/6606/gcpaws+vision+api/9694/facedetection
                                                                            
                                                                        

FaceDetection - Endpoint Features

Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {
    "responses": [
        {
            "faceAnnotations": [
                {
                    "landmarks": [
                        {
                            "type": "LEFT_EYE",
                            "position": {
                                "x": 525.6207885742188,
                                "y": 701.5247802734375,
                                "z": 0.0024538040161132812
                            }
                        },
                        {
                            "type": "RIGHT_EYE",
                            "position": {
                                "x": 844.6868286132812,
                                "y": 687.2720947265625,
                                "z": 3.826666831970215
                            }
                        }
                    ],
                    "boundingPoly": {
                        "vertices": [
                            {
                                "x": 159,
                                "y": 108
                            },
                            {
                                "x": 1202,
                                "y": 108
                            },
                            {
                                "x": 1202,
                                "y": 1321
                            },
                            {
                                "x": 159,
                                "y": 1321
                            }
                        ]
                    },
                    "fdBoundingPoly": {
                        "vertices": [
                            {
                                "x": 263,
                                "y": 384
                            },
                            {
                                "x": 1078,
                                "y": 384
                            },
                            {
                                "x": 1078,
                                "y": 1190
                            },
                            {
                                "x": 263,
                                "y": 1190
                            }
                        ]
                    },
                    "rollAngle": -2.4131157398223877,
                    "panAngle": 0.7103884220123291,
                    "tiltAngle": -4.600088596343994,
                    "detectionConfidence": 0.9375,
                    "landmarkingConfidence": 0.6334074139595032,
                    "joyLikelihood": "LIKELY",
                    "sorrowLikelihood": "VERY_UNLIKELY",
                    "angerLikelihood": "VERY_UNLIKELY",
                    "surpriseLikelihood": "VERY_UNLIKELY",
                    "underExposedLikelihood": "VERY_UNLIKELY",
                    "blurredLikelihood": "VERY_UNLIKELY",
                    "headwearLikelihood": "UNLIKELY"
                }
            ]
        }
    ]
}
                                                                                                                                                                                                                    
                                                                                                    

FaceDetection - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/6606/gcpaws+vision+api/9694/facedetection' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{
    "image": "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"
}'

    

Leverage the power of AWS Rekognition services to to perform a biometric match between a source face image and a target face image



                                                                            
POST https://zylalabs.com/api/6606/gcpaws+vision+api/9695/facematch
                                                                            
                                                                        

FaceMatch - Endpoint Features

Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {
    "FaceMatches": [
        {
            "Face": {
                "BoundingBox": {
                    "Height": 0.09166614711284637,
                    "Left": 0.42369720339775085,
                    "Top": 0.0033972561359405518,
                    "Width": 0.2004701942205429
                },
                "Confidence": 67.8825912475586,
                "Pose": {
                    "Pitch": -5.732446670532227,
                    "Roll": -5.294638156890869,
                    "Yaw": -3.3705596923828125
                },
                "Quality": {
                    "Brightness": 85.87445831298828,
                    "Sharpness": 86.86019134521484
                }
            },
            "Similarity": 100
        }
    ]
}
                                                                                                                                                                                                                    
                                                                                                    

FaceMatch - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/6606/gcpaws+vision+api/9695/facematch' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{
    "sourceImageData": 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DTppaM/K39pm9luPiNeRs52wLsC575NeTFhhWIyTXsf7WmjNonxgv4G+8w3N9cmvGZGJPJI47V9RhpuVNOJ8lWg6VWUWhQBI3yjCDrXYW1ppsvw1uZkYxagl0Dn+8uzpXK2dq9yCkSmSR+Ao9auzXlxZaeNPlTy8PvKEdTjvWqVzlI9H0trq5h43Fzwg7irHiHR5tGuog2EaUbgqnpUmg60ukXX2yKMbwMbW5UfSqN3f3V7qD3TEl85y/QVLS6gr9DodLuLy50lrO4haQNzGxHeprrwvc2kLGA+az4YKO3HNWPDmvaqklvLc25msoiCWiiBwPyr1vwbrWiX9yGTTriVzkfPEQOetcdWap63OulTc9DzPw34C1Wdi8UWcAMw9jya9RsPg7qWsojSRmM+USpx0XHP6V65oPh2C/2vDprQqMZ6jNepaTpwhtQjIEGMdK8DEZhKOkT2qOBi/iR8S+KfhW2iQxmITSSO2wI8YGfpWVY/Da5knLXLQ6btIUNcvjofQ1+gkXhGz1SSIraRzrGCQWUcNXnvjT4BHxFqMk124RWI2xoMcfhWVLNWl7xdXLU3eJ8Za3o92fEBsfOintIxxKwCqTzypA5Fc3rfhna8jIpOOC2MBj6j2r75079nrQtM0Z4NoZ25Jc7jn6mvNPH/wCWVfNtpQiD5doUdK76OZ05uxx1MBUSPiOaJraQqe1A+aOvTvHXwv/ALH1XyxKdvpiuPi8OeT5i3BZCOnFe3CqpK6PKqUpQ3JNFmjg0q/DybGaHC+5yOKl8DaxJoniKC7jkMTK4GQccVgzfIGjEhYKeB0qCKZ1mUhiCOmK2k01qZR0V4/EfXXhfx5Pq1rHGt0d5HPNdPaaje2wZjcMT1AzXy14D8UT6bqUahup7mvo7Sbtr61ikZM7sc5qYJTXwk+0rLXmN9PEmof89W/OtPTPFl7bzqXdiufWudMmHwBircSnAyc5rJ0YTT5o6G1DG14TUoyPdvCfi+O8gVS2WxXc2OpbyuDxXz/4VdoGBQkGvX/Dd000aljkgV8niITw1bmjsfo+GqLG4e01qehQv5sQFZ3iOTyoRT7Cd9g57gUzxOisgBHatMfWhUoqXyOLKqEsPjJRex59q2uNa3G0f3c1lSeL2TiovErbbhiOwxXL3syrHnua56GEjKKv1Pbr4qVK9j7L3VGwPJxU2ylKfLX2p+SoqCPecHpWemlHfJKvVjgD1rXK06IDzIz75rzcVg1Xkps9bC5lLBwcEtz8o/2/NMbTPjvcqefMt1kPt8zV82t8wzjNfVv/AAUhtXh+O0EuCEn09Gz2PztXykx8pmT8DXo0qKp0krnBVqe3m6j6lzRr2WwvEmhxuQgjPStbxlHI3iKYsVkkbACpzk4HFZFvbg24ZT1cYrfntdmu3F3Of3eA2c9OBWr91HOt7DtC8KPcPFAy+e8//LNTnZ+Nek6L4Q0K1jNhIGurwjEkmPkX6GsHwBHNFHc3ajEk52ru6oPX9K9C07Tnm8tbePazcrlep7kn+leNXxDTPXoYe+rH+H/hfZadJ+5vndXOREq71PtnNe8fDT4aWShJJbZB7YxVX4a+AcQ+fdyKJSM7ccH/AA+le6eHNDhtrdcCvncTjJPQ+hw+EW4mneFYQFW3t/LUdT1zXSQeEIHjG9efYVu6PZCSLCjpXS2WiNIOleTzOoz0+SNNHKWnh2C0tdi4TvkdaS7tLZii+UZHXviu7k0JQgBXnFZ0+ihMkLzR7NoanGR5/faZG4J8vFczqujQz5iMY2YzzXp2oaWTniucv9LGTkdqzvKD0LlCMkfOXj/4YafqEjyeWvmc4+tfLPjjwleeHNQkF1bGWM5w6LkV95eKNLUO1eM+P9BTULQK8ZOf+mde9gsXKOkj5/GYVS1ifC+tW6pK7ooXJ+6OtZEa5k4Fe/fEP4cQxWnmwRFXzydmK8NmtjZ3bxHjBxX19GoqiPlasHTZr+HdMWbU7RzIy7mGcV9//C34W2mq+FrabzNzbRX5/aPdGCaED+E1+lH7Ngl1PwTEwbKqgJFeTmMsTSg3TZ9JlcMLVkoVEN1f4OQWtk8yMrMBng15Tc2TWV7JC2flOBX0/rreRYyjpwa+ctf+bWJD71jltavUptVGbZvhMPh5L2SNXw6u3GRivSvCcp3Edq880RfkFeheFV61zZjuexlC/ds9EsMNAMcnI6fWm+JWyoHfFO0f5VBqHxA37w/SvNxP+7R9TqwytjJPyPJvFMipI+5gD7muD1W7xGNrA/Q11Hj2bbdOPavPbu4/d17+Ep3jE8TMsTyOSP0Cx7U5lwv4U7ZQ/wB38K9w+LsV254pFOzb3wMUp+9TWoeqsyt1Y/Ob/gpjDH/wnGgTbdsn2RU3Y68tXxYzAsSRy3NfpX/wUV+GcevfDm28Tx/8fOmyHfj+70H6tX5qTKUC5HzEdKN1ZCt3LEjmC3jUHndnNbGm3R1C/hS4y0XVk/ve1YMjb0jrpvDscMN4rzdAvB96KnwiS95HrfgzRyrq86/6zgRqMYHpXvXhfwuLqON1RIUA5BTNeY/Ce2N7Is1yu6Pqp9D2r6T8M6fGdICpywB5r47F1JRlofY4SnGUVc2dD02NbONAV+XuByT713uhFFRUIzXDaWjWyAH1rsdEk+cV4k1zO7Pah7uiPS/D0UcgIA29K7vTrWOOMHINebaJdGI/XFdvZagfKHNa0uVGNVOSudJJbw+XkgdKyr6GIxNhcH1qM6qWGM1FLcGRTXROUbHHFNMwdSiVc8VyesRfMWBxx0rq9VfrXJaxJ8xHtXFI74bHm3iVS8jAV51rNo9ziNpDx3r1DWYBJI1cPqNqPOrWk11MqivoeUeOdFWXTnQDcT3xXxz440c6Xr8iM3LNkDGK+9Nds0kt51YZ+Xivk/8AaA8NfZNRtdQjGEA+b9a+rwFW+jPlcfS5dUeWxFY03D7ynmvvP9kTx2q6KtiTuJGPvV+frSmIux6OcivY/wBnP4hz+H/EyxM5C5GBXTj8POtG1MMuxdOhUUqiP0Z8STi6tZSMJx618761ldXlB55611Vx8SZL2wJDfeFcVLcPd3Zlfua5sFhXQXvbnfm2Y08XJKmdboQygr0Hwx8jY65rgtAX92K9B8Nr+8WuLMd0fR5SrRsd5p58uMcZyRVfX1ySc9quWKZC1S8UN5QP0rzK7fsYrzKw7f1ufoeCfEW526g64/hHeuBnJdM5rrviHNu1Fz7VxTyfuxX2OFglCJ8RmdRyqyTP0ZLHPWggkdaUxtnpTyuAK6zyisy001M44NR+UxLDHTrSl8Og4/FqeI/tmWJuv2a/GWyMPKIEK8cj94lfkAxMskuTkjoa/cb4oaBB4l+G3iPT7sAwSWbsc89OR+or8PbqBoJpAB824gj8axoy5pWNqsbK5VJ/eAdq6KyuY1jjDAFicVgiNgTkcitDRdPu9VvYo7eFpfm7dq2q2UXcwinKSsfT/wAFZ3NpGkxOCOF7Zr6P8Hs6SbScJ/d7V4P8KNIbTYIftKY5HJ7cV9A+HocSnZ82Mc18Vi9ZXR9pg/djZnUiIO67QMZroNIhIcYFZVlauoDuhCk8HFdVpFk+Qdpwa8uSPUi0dJoUBYnIz0rtrO2/dDiuc0WHyj84xnFdpZKrRjFEFdinKyIPsygD5RSCLB9qvMEAwTTCoI4NbSRyps57VLYsDgVyWq2hDHI7V39wY2JG4ZFczrYi8w4PGK5n5nVDY801S05b5a4S/tigLOjA+9eqanEq5bt615t468Z6PoNuxvLyES52hBySauEJS2RjUqRi9WcVqjeakiMijI4bFeF/HHQ/7Q8L3e0JuCl1yOldNrnx9tX1A28dgzxI2fMUdqw9a8Tad4vsLi2K+W7oQqkYyK+iwMHB+9oeHjJRmvd1PkURNLOsBOTghceua6f4cBrPxVA0nDE7cVjwWE1vrxiKESwSkBD1PPFdimjz2vxM+zwwtvAjJQcYyoNfUqtGC1PnnTc4tpH1DaoHsoNgwNueKs2uW255wat6N4e1BNIgkltnVdnXioreFlkIIxg1DqwqpuLMoUp07OomvU6/QgfLH0r0bw0BuXjnivPtCjOwcV6B4cVt68V8xmLu7n6ZlO3yO+s8bVxWf4jAaNyRnjvV+xRiF4qh4g5jk9Qprzqy/dR9SsP/ALxUZ8zePmP9sSDPGOn41zMqgQjjmuk8eMH1qUDk1zkhBiA7+lfb4Zfu4n5zjpXryP0h2UxkqfBqN+KDArumVNQxq6wOvV5KnaTaegoa4a0RpNgbahPPsKala4WvYwvE01np3h2+tby+giSa3ZG8w89Olfij8T9Nh0HxzrlraHdbJdMkcgHBHtX6IeMrq+8U+Lb+7uo3nt2mMcEWfkK18/ftT/BeTS/DNrrdnozRAzl5zEvAG3r+eK8Gji1HEtH0NXCuWGTPkKR2Kn1Nez/BbSY1szckDzCMc9q8bLbZC5HI6g19AfBWwa807cRxINoA6V62Nl+6PKwi/eHtnhXTo4wNx3s3IAr0rS/F2l6Airezxwnvk81539ok0aGO3ijUzsMKwre8I/Cq31qZb/WXe4lJy8Z+6PQV8hJxcfePqkpJ+6emWXx98NxBLVD5wzguRwPc109j8Y/Colil/tWKMDqgzj+Vccvwv8MQxM0qjT4yMFDgbhXjHj/wN4c02WdbDxPJCDnKow2qe3arp4ajU3uYzxFan2PsjTvjD4duN7/2hbyJxt2nFb2m/FDS7w4huUP0avzX03wnqk4drHXRd28R+ZoWO459civTfAlrqmnTgLqf2pAMtgnK+x461VTCxgvdJpYqU5e8feVv4iS9J2SA59DUq6hKJcbuOa8O8EeLG2Rh3+ZRjDGvS7TU3u4i644HavGqTcGevFcyNya/EKuzvivMPHnxcsPCkUxuGBAXIOal8U+KBbQyoXw4BFfN/wAQVfxNciK5kAiY4AHUmtaEPbS1Mq9R046GX46/auurmKa30lzvJIGM15Tp3h/xB8RtQW7vbwW8ZbzHllbkCun8baDovwz0eK/n0pr+/c7dkS/LGT0DZ75rxjxt4o1631S2sLnGmiYiNltT82CevevrqOHUYWifK1KspTvLofVHhX4deGdKgWNWttSuZBtadjyT6VlePfAthMqzW1uLSWI4zHjBFfPXxH8E+NPhFq9uV1eW7tHAkSRG5XI6Nx1+lel/B7xbr3jqzmt7gykxkAs46jFc86MqD5lK5vCpGquVxscMnw5ivvjnY25y1vOBN064wDR8XdbtvCf7Qt4kEa/ZrcQpx3PlrXv3gvw3bzfFfwzPMhLs32dy3UKWyT9eK+S/j951n8X/ABEspLOlwMs3XGOP0rppz9tK3kT/AAqfzP0A8Ga9beIvBELrGu4xf0rz+eJ0v5AwwNxx+dYP7PXieTU/BBBYAxLgAHrwa6He091lzyWP86eDjyOaOnNHzwpM6jQ1yg+legeHF+da4fR4tkQIrvvDkfKH2rycb8B9VlekfkdxZDaoPtWLr7fLN/umtu1+4BWH4iQLDOf9k1z4j+FTJwzvWqHzF4zOdenrnz96tzxa5fW5z71htwc19pQ/hxPzTFf7xL1P0s2e1ROtStUR60hFcxbzj8ahu286ykA6urKPxFXT0P0qvsxJCew/wqJa3Li7NHz3q9vDol3pllJCWZLko7Y6nbXe+MNPtdb+HOq2Fxp4nSa3ZIyw6HGf6VheNtMivPHVlA332uGlCj02n/Ct680abX7tdP3EWqjaQD7V8FXToYjmufe0JKrh1Gx+MevaUbTxRe2IG3bMVA/Gvq34TeFW0/w7ZiNfmZAxPtXP/tR/BxfBHxVtJETFvf3O0HGBnk/0r1bwfpUkFlbRr2QYx6V9RXxCqYfmsfNUqDpYjludDaaCJUWYrvde+K53xz8UrnwFauYspMB8rd/wr27wfoweFfMUfiKyfiV+z1onxIZWvSVYD5dnFeFhqsXrI9vEUpaKJ8qeFvEPxF/aV8UW2i200llppmCTTxn5VXPLH3rjvix4D1P4VfE+58OeJNUup9Pjh3R3cmASCAcjgDvX0L4e+Fnif4T+J0OhKRZq4IbH8+K9T8R2M/xZsY7Lxb4StNYKYCz/ADBx+IxXt08XShskeNUwlSfVnzF+yL8JtX+LviHXzpOq3+n2Fmm9LwKpEjKCVDZBGDjtXudz4G1bRtcW21mAWrfKi3gyIpn6Lg/3if1NejeHPDuveD9DOkeGlj8P2T4BjtlBJ+pIJrstB8BahqkKW+tXcmpIvznKjPr2FceJxMZttI7cNhXTSuzzTRdLuNOuMPuDg4OfWvdPBmmve6QcfexXPeJNFithHFEm1I8KMjnArtfh4ghgRSe1fPVLSke7HSJ4x8Wrb7BO0fIcmvKJdHZJLGeWOQiebY8qDJRRzX0T8btIE1wkgA6+lVvAUNibRLe4jRmzkblBrqpv2exy1Pf3KepD4eeKfhffeDL3Rbp4riPabydF85m4ORg4zwDXxzb/ALKcfhbxjBqqXNxrNlaz7okuAD5uBxvx2+lfft54ZsjLuSMe2BVKbw3vGBGMfSu+OMqJWRzPDU3utT4/8Q/DnxB8VfE9vPrVk1nZI42RKOFHpzX0FpngXR/Dugpa21lBbiMBWkQfMxxXcw+GGicuU4A9Kw9en2AwkYrnniXL4dGH1dL4tjwvXvL8H+ILTUVUhbWcS89cCvj39p+2H/C2tRuRx9ujWXHvtWvtL4rKIdEvJwATDGZOfUV8KftAeLF8XfEm6uY8eVHHGi4/3Fz/ACr18uUpNzZ4+MSUVBdz3P8AZa3r4fuI2Jx/+uvVUXF1j3/rXm/7LYH/AAjFwe+P8a9PhXN0f9416NHeUjbGr3KUTrdKX9yK77w6v3PoK4jTF/ciu98PLwnHYV4GNd4H12Xq0fkdfAuEFYXiT/j3n/3TXQwDCiuc8Vf8e8/+6awraxpxMMM7TqSPl/xOM61P9axnXNa/iD/kLXH+9Wcehr7ilHlhFH5riXzV5PzP0jZajMZqZutJWYyIxkCq8rjOO9XcZqlKv7yhK41ueTfFiBtE8R6JraAkF/Kb0HB/xrR0PXPsOvW1zKf9FuDguOgOK67xvokWr+H2VlDyRncqmvOFW3j0i6jeXBiX5Yz1ByK+GzBfvWfeYL+Ejz/9sj4cHxJo/wBus41nurNPtEO3kls4/kTXkfw+1Y3VlbS5yu3Yp/n+tfT83hKbV9At7pZ2ZkT7svIPX1r5euNO/wCER8X3VhAc6c7mW3GOQOh/XNPD1vaQ5DmxFPknzn0D4UlQQJ5ncdq7K3XL5QBl/wBqvL/DOp/uIue1d/pd/vUc1zVY8nunoU3zR5jpotHtL9Mlf3g/2atWfhy3tW3Rx5b3GKd4aO5wT610shznalQku5Tb7GLHoUDOXkTauOcdc1Zs7NLKFzEuCe5Par0cLuCWGAKTUSqWZCdaG3sCjfU8+8SyFpyvcGtLwbfEyoinkVz2v3flXDI/3m6VN4MuTBckMeSeKw5Xe5fka/xat3ks0kxnFea6JqL2VzFIDx0wOte1eMUh1HQCTgsFr52ubmSy1vaOUGDit7nPJanv3h7UUuwnm4JI6V1EMVu/O3j6V574H8q+tluRL8wH3c16Ba8JT5rIvluQ6oIFtiEXB78V5J4xh2s8iV6vqIzG1eYeME/cy1gp6lyhoeFfE2UzeFdVJOB5Lcmvzi1cEahctId8xkPPUYzX3l+0Dr/9kfD/AFwo2Ha3ZF/3j0r4GebzlDOcuSc19vlsP3LZ8fjpWml5n1t+y9qMUfh6aEk7yP8AGvXbZf8AST9a8F/Zugla0YrnbXv9omJhnrmtqStzG+Llf2R2Gmr+4Wu98PcBPoK4jTU/crXc6An3PoK+dxnwH2eA+E6+DlAB6ZrmPFbAWk7dtprqLZcL+BrlPFv/ACD7j6Gsqv8Ay7OahvV+Z8xa6N+qTkdC1ZxHBrR1j/kIzfWs8193D4Y+h+a1/wCNI/SRhTggIFKRmlrmLGMoAyKhMKk7iOank+7UfarTtFh0M/V0R7IL/ECTwfavnr4ly/8ACP6nb3jsUt3fEgzwa+htYTbYmTvnFeAftJ6cLzwbdopKskZYMOor47ERU6zTPvcHphkz0DSLiW/0OzisoHuUli3KxyqsPUH19q8r+MHgW11DQhr+nqElhy0nGOBnOK8Y/Zr/AG37D4W+BNT8K+K7Jr+a2YixvJbxY3C8cfOQTznpXjXxU/be8V/EPzLeyt4NLsZJC8kUKrgjpjgccYp08sqU53TPJnmEZu0j6W8N66IlfdyijAFej+F9Ue7cDeNprwjwvqv9pWNjIgwZIgz4OcmvRfB+qvFdiPPA965sXDlep6eHrKWx9B+G5GRl2ng16LpttDLHucZNeQ+GdTYqprvbHWXSA4P615sZJM7ZRclob2pmKBDswBXP3E8Pkndz+NZWq+IJDkZ/WqCXbXFuSTW32rkRvFWZwOo3barrdxJIdsMTsir64q5ock63m8/KFOBxXPTaoukeIJ7W6XeGkMi846nPerzeKRaXHnlB5PTGRSlrsUe42ugw6noDPLJklc9cV4H4l8Ppa63KE+YEY68119l8Q5G05xG2Ex0DCvNtd17Udc1TybNQgzky4LH9KpI55Xvc6fwJq7aRrE9k7fKBkKxxjmvVY/FMQXCuBXiFhoz2WoTXUs7T3O0Z7d61p9Qkt1zuP50Sg2tCo1Lbnq1z4hR0OXGDXm/jvXoYoH2MMmudu/FE6gru/WuU1nUJdRJDMcGoo0W5alVqtkfO37V/iR08NLaxuA1zMCRjqMEV8l7QSAfv5BNe5/tW30i+KrGyz8kcJbHvn/69eGou6WN/7xr73Bw5KB8VXlz4hJn2b+zZpMUPhZrjZ85HXNerWih7jJ9a4j4B2wi+HwcDkqP613dmOYz6k1jQ1uetikuaCsdfpygQjFdzoIG1PoK4ew/1QrtdCbAT6Cvn8Ur1LdD63APlots7K2TfgD0rlfFFrJcQSxR9SCK6Jbk28Zf0GKzoJRPM7MM1z1pKLXkY4aDcZLuzwS9+FOp31zJNGCFJ9KqSfCDVl5/pX0WblY8hVUCoWu9zfdXGfStFm9WmrbmMsghWfOezUUuw0lfZM/O2I3Ipu3in4zTd4Bx3qXew+hQ1eDfZls8Zryv4h6SL/TmQjcGBBzXq2tllsSq9etec+I33W+xutfMVP4x99g1fDJH5s/tF/BKfQtQa9s4i0IJJKivnWVGE5jwUY/Ka/WLxn4PtfEunS2rxq+VIywr4M+M/wdufDWqXEltb/u2Yhdte7SxCk/ePn6+AcZXhqekfAXxCut+D7NS3760/ctzznJIr2PTyYpRKpNfNfwE0rU9GuLlHgcW02HGB0bgV9K6GhmskZmHy9Rnk/SvFxqjOeh24eEqa947nR/Gn2EIr52963l+Issp8uyBJPvXIWOlxTlVxhzzhuK27fRHs1LxKm7614Lgkz2FJpaI6rTtQdgZrqXDHtmtldYhaIFZeB6V5drk+rWWnzTWts91t++qAkj6Vx9n8dLfSYHhv7C8SVeCPJ6frVNXXugnzLU9+ktrS+ZZPIQuf4j1q7Bo0MkTIwh2kHIavA7D9pPSI5FTyZgxHAdcf1retf2gY7qVdljHJGD0dyM1UacuqG07aHZXXgSyimdbcjbMfmVWNVLnRE0b93CGRlGAAKybv9oOyhjeV9NhiuFGI1jcsM15l4k+N/ibVLp/s4jg39I41DfjyK0UWJQbWx6deTyWCmaXbyOrHFeezeK5Nb15bGy3TbfmLKeK8s1m98Y+IIprq/wBSltraM8rtAJ+gr2n4DaLBZaS915fnSScB5BzitbWRyShJS1R2GheEpY9Invbj/WSrnB7VzDQKY5o1IwmQ59K9H8Z6mmlaE0cZIkkG1cdBXgXxn8ZxeAPh3e3pl2Xl3GVjUdS3+RV4dOUtEc9eSitWfF/xs11dc8eatPE3mR+btXnPAAH9K4ewQ3l3DGo6sBV25mWaWSWUlmlJfPXqa1/h9op1jxRaWsYBd5BjPTrX1yn7Ogz56EFPEo+7Pg9pcmm/DuBSBlox29q1bElpUD/wscfnXd+B/BccPg6ygOQwjGfyq1D4CSJi4AIJyM14dDFQSlqfVYnB1Jzg4xuirZQST26hF7V1ulQmBE3dQBmodP017EAbRgVozsLaLcwxkdq82tUc5XifQ0qPJTSJpbkSjyweaq3czW8RxWJeamyPviJyPWqk2sSyoQaw9lKo+ZnWoxpqyC71abzjjOPrUH9rTA96qM7uSSBTd7A9BXVCnCK1iXZ9GfWVN2Z7VJgUmcV9ifjAzZjtUJX95VhmIFRSDay4pN2QLdFfWY82h+lebeIovlP1r1DWdq2PI5IrzfXI2mUgCvk6sv3x+g4H+CjlDCI5N2MiuW8WeBdO8TxMJrdSeuSK7k2EgXGOKjFhIp+7weK6XUVtDt9lE57wp8JNItNOFulugkdeG215N4r0S48A+J3tbhT9lkbMJ7V9P6JbtGVOOQK5D44+ChregfbTF+9gUlGHU1y0k6s2jzMelSpqS7nlulXySN5rON4HGK7HRrpblRurwDwx4uWSWW23EyxSbSp4PBr1jQNX3xKQ4Vv7tclalZmVKvzRsej2yRJuCD73B4yK81+IXw4M0rajpwjlYcvGyjmuysr6VAp3g7uvFbYZLhAWAJ9q5LunI76c4JangXh+48N3d2bfW7EW8qfJ/qgvI967vw78IvDXiS6MlnhUJ4HmkfpmtPxT8MLPxJIZnt9j9RJGduPyrk4/h/4h8OXIfSL7ei9Az4ArdVnI7FUp2Ou1f9n7TLUFyoZd3/PU1j6v4V0LwmrsIYw6Lu3Fs1k6nL48eLy5biJl68SisE+ENa8QyEanfNGM4MaHdn8avnF7aCWhzHiLUh4w1qHT9OTbEW+cgYFe6eH9Oi8OaHBGowcVg+E/AdpozqFiMhH8W3n866PxMwtUiTO2IDd+HpQnzOx5NeunsYXjPX4nGy4cLCi7mY9q+Bf2jfihJ4+8UmytpD/Z9jlAAeD7/rXtn7SnxfTQbG406ykH225UoVHJjH+RXxtJ5jEysx8yQ5JNfTYHDKPvM+XxVSU9EN3PIVHoK95/Zg8GtrHjW0mdcqhDH8xXhNvuWYL94dK+4/2OvB3lxnUJ4jhhhTWuOqKnDl7nbk+GdarzS6H19YeRp1jBBwMJSf2hAFxx1rG1WV0cYP3RgVmec4B5r5aNJJPzP0WbUbJHVNqEHqKz9Zv0eHCntXPyTuD96myTPIo3HNaxhYjmKzMzSEnpTWqQsduKYea6ES5XY1eWAq3HZCQVSYlW4NTR30ycBh+VNlpn1dTD1qdlpgTmvqLn49YjIz2pJkOVqxtwM0xutS9SdmRapAJ7UAHJx0Fc5LofmpyldKOhprdK8qeAjKXNzH0dDM5UocvKcu2iD+4fyqGbRQAMRknPYV1jNTVOTWEcBb7R0f2uuxz9ppxjH3CPwqTWdPW+sfs7oXypABHFbbVGo8wuh6YrqoYVUpOVzixWP+sxUUfmX4i0WVfGGoixkEFwLhwMHCk7jXTeEvGLabfJYagSlxnAd+AfxrH8UlrbxlfeXyftj4H/AAM1vXmi217aRvLGHlP/AC1PVK4MRFXKoXSuez6Jqsd7AQrfMmMnPrXSaZcFnCk9exr520XWdX8EXPmyhrvTSR+8xuKj6V694Z8Zaf4gRZLOYM2MkFsFf8+leTVpqx6tOpfdHq2nKZcLnjup71auvDEN8pCZic9h0rntL1JcpmQMfXpmu10rUEdlBYMCOma4VzR6HfGUGrM5S78DomdzFqhtPDMNs5AjBxzkivRpLeOVd20ViapIlorFSoZhggjoK0i7ibjFHLfZY7eVuQowcfLXjnxo+IFv4S0O4uZxuIUrEo6yN2C+v4V23ifxfBpUVw8s4Cx5+Z2wP1r5mknufjP48a9kDf8ACMaNJi3UjiaX29sN+lejh6abvc83EST+FHzz8StAvo7621TV2Ml5fqZWVuinJwPbgVwf2GPa7yjJzhQK+qvjb4H/AOElsD5S7Jrcbl9z6V8sy281tctaTho7lGxz3r6elNONjyVvqjf8F+Dl1zW7e3jjZ1ZhnAziv0p+DHg6Lw34VgiEewhAckYzXyZ+zP4Dmub9b+aMqrEEEivti0v/ALJYRw5+6BivFxzlWlbsfXYCmqUbrqJq0ZLHisiRdvHSr91qhkFZkkplOT2rCCdrs9V2S3IpetNJGKVu9MPStGZXGscCmj5unP0pJRuTFPgPl0bIpCGFj/CfypPIf+435Vr2l3EI/n+9mrK3dv7VhKo10NUfTDCo+h6VK3Wm7M19afkQ0tkYximMtSlcCmNQJkQGBTStPoAzQLmsQMtIgwasNFUbLtp3QcqGEZqG6IgtppP7iFjU9YPxC1H+w/BGsXxONts5B/Cpk1bQqKSZ+efiKJm8S3k6sCzXUjDjp85rptMEtxFG28ZHUY4Nc5dKXupZ2/jdmH4nNdV4aXzIRXzuIep9Fh1dG9pCJcSskgBTo0b8qfwqPVPhi8U/27w9P/Zs7csmCYif90Yq1YWhWfcPWu70eWRolXbmvGq1eV2PWhSvE8vm+JGq+EGWLW9Nuk2/L9ohUyK/+1hQcZ9DXS6P+0DoqRrKdRSFh/DK20/ka9JjsobmExsqbGHzxuuc1yGt/Azwdr0rNc+GrAu3JkMQ3H8aVOvB6MboSWpoD9p3w1bWf7zWbfdjoJAa868cftb6KI2h055tRum4EcELMT+IFdBbfswfDlZQzaDa7/Qxgj+Vdbonwj8JeFCJNL0GxgmByHEIxW/PRRPs5M+bIvC3jX4438dxqCTeHPDxO5kkOXkH4Yx+VeyWnhLTvB+gJpunQeVDEmxD3+p9T716ZLkD7gUgfwj5fyrl9XgEiGn7aP2SXRdtTyDxLaNcuWbGxeAoH868m8T/AAj0/XNYt71SsEu7LZGc19DX2kCUkY61zlx4caWVyo+5XXDEtHMqKudd8PPDVt4d0GzSPau5PlZR1rtJTuRV3YYcn3rybQfE974auB9rUz2BONp/hHtXpdjq1lq8CT2sgdD/AAg8g10Rkp6s9mjUskiyVH1phA9KkbpTOuaUmlodN22QuQKjLDHSpJRTSnGak0uRBgTjFMfrxxUpXHNRtzTQuaxEc5PNKGIHWg9aTPFJwuaKR9gMRRSNE/8AdNOCMAMivpD8qEIyKjYVIRgVGelVfSw/MZt60wgipQyjIJpMA9KIx7ivcbye9Ki4YFgGA7GlJCNgkA+lMmlEYGWArGc409TVU5ydoK5AYlCyO8hUk/Korxz9qTxguh+BotJhlLXOo/KVB5Ccg16br3imx0KCa7u3VIolJBY8E18dePPGk3xL8UvqTofs8WYYUPTGev6V51TFqa5UevDBcked7nA3yI1lEdoDZAxXV+FLZfs4O0ZrA1S1DXSkcBRgLXYeFLc/Zx8teXXldHbQjZly3YxXQHYmvRNBti8KleDjtXE29ssl2M9jXouhIY4FwM8V401c9eLsbsdiBGpIGccmiWAiMj+H0qYPIIx8p6VHvZ22kYrnsbJkEcIU8ACnS7gOpqykeaSWEkdKtaCavsY84bnmsa7tgVOQDXRzwEn7tULqDK9K2jJGTTORuNOVz8qAH1qhJpJQttGM9feuoeEqScVVnUjtUtvoNWRw+p6EssbR7Rj0rnLbStT8O3f2nT5WTadxiH3X9j7V6i2npL85OCe1QS6YjKyjBJGKuFdxdiPZ63Rzuk+PYpnEeoK9rcep+5+VdPHeRXcZeBhIB1Kng1hX/haC5UiWMMffoKxW8P32jTLJZXToTyF/hFejTxKvqNSaZ26qz8sw/wB3HNNM+DjFcmPH89nmLUbIzuvHnRD/ABNbOn+IdJ1LZ5V5H5jDOxjgj1HNd8P3mxqq0NpuxotIGGACfpUZ+hH1NYGs/EPwtoVx9mvdbt7a4JwE5J/QVLD4nsL6ES2gkvoz0ZBjP54q5qENJM0U4fYdzWcH+8o+tRMWH8WfpWY3iGJPv6VPGP7zY/xp1v4g0+6bas6wt/dbNZwnT7j9ofcbLULdasFs1E6e9fRWPzYgbmo2SpsqrfMcLTJSB8w5X1rKc1T+IqMZVHyxQ1IVZST1pjyJH3qpeavBbRkDc7ei1gXmtuwLIF+jda82rjFtA97DZdO15o3ZdRjjQhSGkrjfFfja28O2U9zqFwiQoDlM8t7V558QPjXpfhYtDBOtzqDcBEOVzXzn4m8Rax4w1KSa+ndYn+7AD8o9682dSo/iPahTpUFanqdF8SPijffE+/W1s5GtNIjbG0Hlqq2OmLZ5VPugDmqmh6JHBEOCW9cVvFBBD6+5rjc1fQwcXJ3Zz09kZ7np3rrNBh+zw4rJhEKSby5z6VrWN1vcIgBBpzbaJgkmaljFuuc+9ei6LD+4X6VyejaV5rBySK7vT4RbwqOv1riZ2K5ZaTagHpVcPulApNQmWBQVOSexqC0nSQhmbb7Co5bmidtzTi60kz7TVZtRii6MDVK51hCc/L09ahwb2LUl1LMsvNVrh0x1rKufEESEglfzrIufEaEHBB/GpUJFSnE1rqVFHbrWZcXCZ61h3/iRUUbioBPrWNd+JHcfuIzKa3jTkc0po6qW8jRc7wKy5tYhV8NKAvc1zyWGu6xiSO32K/Qc8VoWfwt1W8ZXuJJIxnkCnyxW4JzZan8T21oMrcqR6Gsy58d2jROUtzK/3QQO5rq7L4UQQjdNGZj/ALdXl8G2VpOjC2RVUZKgcGk5QWiNfZTtc8l8Rare2GjXeq3ECwWUETPufjJxnFeCeD9fm8fR674q8RXDweHNNVhBaocLPL82z9QO/eu2/bE+IG6ax8BaLLuuJ3RpgnXLEFV+nOK8x+M8qeE/BXhr4eaaAlxIEuLyJO8r7SAf+BZr6fC02oRv9pXXofMYifNOWuxq/s5+Df8AhafxEvPEOpBlsrXiKFjlRnIA/DivtuPQ7WwiiTyo1KDCooryX4EeDoPAvgTT7VLYRXLKJ7jOc7mAP869HutZIU4Vd+Mbs189jq/tanuPRHvYOi6dLXqP1SWBg0bRqX/vDt7Vyt1odjq7lchWHXbU/l3F1KyqWKMcmr6aDIiAxq0beorzoylHqdlrH2pTXPFfLXjn/gol4B8IpApsNRupJcGBVg4bPTndWnpH7Zll4k0pLuTQJYVZQyK24HHvX6RNxp7s+BipT2R9DXkgjiZm6CuZ1HVZo87T+7rxTVf2vxdxCC20IrJj5S2cV5rr/wAftc8QPJE84soj/AoH88V42JxEZStFnvYO1GNpx1PefGXxP0vwzEVu7gLLt3CMH5jXgnjn4y6x4oUw2cn2Kz6B1PzEV5/f6ytxMzy3DXDHqzHNUG1JScDpnpXnPueq6vMtC99kJkEjlpJuu9+a29Os0JDu4eTHSs+1kQEZNaDastlFujALHjpXP7OT3Zlc2vOW3j4rMv8AWMIVzXPz6lcXkh2ggegq1pmiSahcqJdwUn1rSFJQd2RNtrQltZ3uZ0UE/McV6J4X0UsQzc1oeGPA8cUKMqhsckkV1UWmrYnPAxWNSotkaU6b3ZY02BbdTxVm71QQJxWfdaiscZArnbi+aSQ8nFc8NXqdUtImvdaq02cniqI1RlbaDWekhv7lY1yMHFdZa+EsxpIx7VrKcYaGUYymznLjU5P73NZF7f3DyYRjjFeiL4XjPv8AhUcnhmJZANo6elYe0Rv7Nnlslle3LcMea0bXwfezkZLV6ha+GojjgflXQQaKkGDgflUuougKmzyiz+HUrMPPjMinoPSuq0T4f2tkQ8kSqP8AaFdz5MarjiqdzcpD3rCVWXQ1VOPUrJp9hZ8qFGOwFNlTeN6YEa8mqk9yJJWI6GmefkEA9e2amUmlc0jFE1xKjRHa+K4Txx4ng8IeH7/Vrl/3VtG0hz7An+ldNclWIbOM8EV8kftyfEp9P0208JWr5ubkiWdVODtGMD8Qa7MHRdarFHLi66pUpW3PLvhJaP8AE74oa1471UGTTdO82bc3I4yY/wAsVS+Euhz/ABl+Pd1e3BM1nbzSSFzyAASYx+lei67oKfBX9lKNU+TVdXZHOeD5cnJ/INXVfsH+AltvCupeJZV+a7fygSP7hI/rX0+Iq+xpTnHpoj5WhTlUqQjLrufQMfh420CQBcEjBI9B0rPbQGe428120yM8OAPTmn2WnmQg7ea+FlJ8zPsIrlSXYx9J8OJBtVlyc5rpE0GIoBtH5VpWOgPNhsGulsfDT7AcfnVJNlc0Vufk74us4vE/x/03SLcD7LbiIKD0G3rx+FfZFvoEH2dYI4kGzjIGM18gfAPTpvF/x31O9bMiW8s2G9AS2P5V9sQwm2QhuoGDX1Oa1HCooRfQ8HA04uEpW2ZzWsaPDFEAYk+Uc44riNVW2tA+QB6ADNdd4o1Xyt4zXm2pNNfTnGSua8ehflUnuetU5eiKEUC3tz+7BVc45rq9N8MxvGpcZNUtI0rY6nFdlaweXGBXbKo0cSpqTKH/AAj5HTH50xtDdRyAfxrpIU8zAq01huUcVzuuzoVFHIW+lmF8lVrtfCujpdPGzgAGqbad7Vr6NN9h2jpisJVpNGqpKOp6NbJFptoVj54rMvbwuDVVNX85AM1XuZ+DXPd3ua6WsQXEm/IJqmtt82T0pxl3Macr1qqltSOS+hZ0bTWW8EmBjOetd5HMxVE6Ljmuc0p0RVPfFaxvkJ25xXHVk5O52U1yI1F2+tTRQJIdxPFc9NqUcefn/Wo18SpBEVDAnNZpyKudjHJbwjknIqnea9GFIVjXCXnipixw35VnnW3k71ootkyZ2E+vPn5Wqq+oST9T+ZrmY7x5SeasxTPjvXRFHNJm6sx4z1p6OxYbevbNZ0Ep2DPWrCyEkBTg1MpK9mUm7e6VNY1W20TTLy/vpDFaWqNNI/8Asjk49a+BvBNtdftDftIDULwGXTYJmlyx48uNhtB+oFe5ftofFI+F/BsHh63m/wBJ1TO7Z1WIHDg/mKtfsVfC/wD4RzwLPrl9FsutQbeGccqi5A/MEV72GUsLh5VZfE9EeBiJfWMRGEfhW/yPPv28dZEt/wCGvDGnt8qpjyl7fd2DFfVnwF8FR+D/AITaDp4XZK1uk0g/2mUE/rXw/wCJ7p/jL+1jD9kzNbwXMaFOoAgYBuPwr9JNItlitYYlXaqoFCjtgUZlL2VClSW71Zrgkp1atV7J6FKWDB8tRW5othuxkCmjT90oOK3dLtfLxxXzaXM9T25Pr3NrTNO2xjgYzXR2dsqqMgVj2kmyMfWrqah5Y616FOMTzKl2flv+wxoEdzDrmuzIS00mA+e4Jz/OvpPxBfx2yOYiAx9ea8d/ZntY/CfwlsVXCyXDGVvXnB/rXS65rRkLjeMZ9a7cXL2mKmn0FgEvY69TN1mdr6RhIc5PaqttZoP4aSFzPKD1BrTghHpSUVF2GpOUUySzt1UZxg5rViZiAO1VoYwBV6JRjrWVVm9JGhZqoGe9XEnOSpxtA9KoWjgDqKWaUqcg5+lcribqRYmudvQioBfjdyeaz553PY1AgZ2ycioUbFOVzprXU9rLg1fN+Jeprl4FbI5rZsYGcgHNOxFy9gscp071YiaNR89IQLVB0+aqU8m88MB+NQ43LUrI0k1qOAEA9Kzb3xVKjnawx9KybqCTcSMnPpTrTSjMwLg/jS9kV7XoSzeIJ5xwf0qJL24f+Lg1c/s+OH+A/lSrArNwuKpQQcxHGXk681Z2MjACrVvbDA4qy1tlx8pP4VdlElyY6xjJ5x2rQRDii0gwo4q9HBx0rNzsVFXIG/dxA/xE4H0qtc36W9pPNNIIYoxlpG4AHrV2SMZZiflQ14Z+1z8Rl8HfDttPtmCXWpAxYU4YKcgtjritsNQ+s1VEwxNT6vScz5m165vf2hvj9HZxky2Yn8oJjgRKQrkenSvujxZqkPw4+EupTQ7IItPsTHEMDl1TA/UV8/fsN/DAx6fc+LryM/bbjclszDpHyH/UCuo/bk8Yx6D8MrXRYZQlxqM6ygbuSiHDj9a93ESVfE06EdoniUF7HDzrS3keW/sIeG28V/FnWfEjx4EO92ZumZck4r9FrW0jQ5UH86+Uv2CvBraV8KhqckRiuNQunJYjGUVzt/Q19bwpjAFeVm1XmxLl0joehgYcuGjH+bUmit1Mi8cYrRgjC9BUEKjIq7EBXmpat9z0ZbJdidXKrimtIc9aSRsHFQsx5rZSsc/Lc+AfCM6aR4O021Jx5cCKfyFQT3Zu5So5ANYdleNc2XlKduOme1bemWRAUlgTjrivXqpOo2cFOHuI6DSbQJCD3rWhhqnp0LBl54rct7YsetcspK53RjoQpATVlLY1cS12jrmpVQCsHM3SKyWpJ6VOLU4q8kQ4qYqFA4zWVyzJa1PpTV04u2cVtpa+d04q9bWHRePripcrBa5hw6aVIOOlXRui5FbT2IRCOMkelQxWIHLEH8Kj2jDkMieWSYqCDxTo7HzfvVsTW0aYwmfpUJUL/EErVT0M3HUpx2m049KtpAVGacCqc9ac94mwjafzqlIlxIJFNRCDe2cVKZg/QGp7dc9qpkoWC2PFacVuc060tN4zkCtOK29xWLXU2iytHARVuGE/SpzblYyw528mrUVqQU4yGGc+lc7m9kdCit2VJ4LeC1kmnUCMcuT6V+bvxc16/wDj58ek0qwkaSzacWlsByEj4Dn8xX2N+1l8TW+HfwuvY7d8anegw26qcFcg/N9ARXh37CHwqXVNZv8Axrfr+6VvKtWcfeZuWYfRga+lwNOOGoyxEtz5vGzliaqoR2Pq7wF4cg8DaDpmk2cG6C3hEbYHViBn9c18Mftl+Jh49+M8Oi2yZSyCWsSj+/IFz+or9EvEGrWvh3w9e35IiitIXnLtz93nNfmd8H7Gf4s/tJQTXLec7X8l4zEEgpHJlf0p5XabqYp7hmN4cmGR+i/wm8NN4Q8BaFpcIwI7ONmH+2UGf1r0W2YhVz97HNYWnuYbpbcL8gXCt24rbX93glga8LFS9pVbR7uH9yikX1kCrmrENwKynugU2gc0+CauaKsXy6Gq8m5gacGqis/IGM+9WY23CtkZtH5xaLZsSV967Swttu0Y5FYOhgfKcckLzXW2qjd0FejWk1JnFSV4I07KHaBWzaLms627VpwcVwpt3OtItkYpAORmm5JHWp41BHQVDZqkWo16VbghErYx0qC2GSM81sWiKP4R09Km4h9rZD0rVttO4DUtmi4HA/KtaNQIBgAU9xPQw7uDawFVJl8utO/+8azpjlTnmiyJuzNurtkICjOetVWlWT7/ABU1xwGxxWTOxL9TXVGCsYOTuW5LjAwOlQi43NiqpY46mnW3MozT5UFzZs4/MrXgtOOlZtjxjHFbNqSepNJoqJPANgxWjF1qrCAW5ANXAAFPFZSWhqt0XYIllJDNtxzWV418W2ngnw7Nq1zdx28MIyQ5xu+lapA8huOqc18y/t8OyfDHQ1UkK1yAwB4Iw3BrTCUVVnZmeKquEdD5a/aO+N7/ABg8Y3DQuy6VagpZAn6ZP55r6/8A2Rvij4MvfAtloFvNDpc9kMGG5YKJSckn8zX5uXCqs0QAABByAPetPUZpB5JEjAiPg56V9vi8JB4eMFofGYXEyWJlJn6K/tc/HTwtpHww1TQ9I1aK71O+Q2xggbIVWBBrzD/gnt4Dgu5dX8WzFXu4SttCndVIIY/oK+MgATakjO5GJ9zmv0H/AGBreKH4bSSRxJHI8sm51UAt8zdTXFi6EcHhEqfU7MLVlisU3PofUVpE/mMQPuk7T9atuj96LInavPc1OTknNfErWbbPrmtEimgcSAnpT2ufLqWQfLVOUZqrXNnsWYtTA4J5rQg1RdvWuWu/l6cfSnxuwhU7jn61exDP/9k="
}'

    

Endpoint: TextDetection

Description: The TextDetection endpoint allows users to extract and recognize text from images or documents. This API utilizes advanced optical character recognition (OCR) technology to analyze and convert visual text into editable and searchable data. Users can send images in various formats (e.g., JPEG, PNG, PDF) to the endpoint, and the response will contain the detected text along with its coordinates in the original image. This endpoint is useful for applications requiring document scanning, data extraction from images, and accessibility improvements for visually impaired users. Users can also specify parameters such as language detection and text orientation to enhance the accuracy of the results.



                                                                            
POST https://zylalabs.com/api/6606/gcpaws+vision+api/9699/textdetection
                                                                            
                                                                        

TextDetection - Endpoint Features

Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {
    "responses": [
        {
            "textAnnotations": [
                {
                    "mid": "",
                    "locale": "en",
                    "description": "WAITING?\nPLEASE\nTURN OFF\nYOUR\nENGINE",
                    "score": 0,
                    "confidence": 0,
                    "topicality": 0,
                    "boundingPoly": {
                        "vertices": [
                            {
                                "x": 57,
                                "y": 137
                            },
                            {
                                "x": 373,
                                "y": 137
                            },
                            {
                                "x": 373,
                                "y": 331
                            },
                            {
                                "x": 57,
                                "y": 331
                            }
                        ]
                    }
                },
                {
                    "mid": "",
                    "locale": "",
                    "description": "ENGINE",
                    "score": 0,
                    "confidence": 0,
                    "topicality": 0,
                    "boundingPoly": {
                        "vertices": [
                            {
                                "x": 204,
                                "y": 302
                            },
                            {
                                "x": 324,
                                "y": 304
                            },
                            {
                                "x": 324,
                                "y": 328
                            },
                            {
                                "x": 204,
                                "y": 326
                            }
                        ]
                    }
                }
            ],
            "fullTextAnnotation": {
                "pages": [
                    {
                        "property": {
                            "detectedLanguages": [
                                {
                                    "languageCode": "en",
                                    "confidence": 0.8692417144775391
                                }
                            ]
                        },
                        "width": 460,
                        "height": 342,
                        "confidence": 0
                    }
                ],
                "text": "WAITING?\nPLEASE\nTURN OFF\nYOUR\nENGINE"
            }
        }
    ]
}
                                                                                                                                                                                                                    
                                                                                                    

TextDetection - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/6606/gcpaws+vision+api/9699/textdetection' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{
    "image": "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"
}'

    

Identifies objects, locations, activities, animal species, products, and more present in an image, providing descriptive labels and confidence scores. This is useful for automatic image tagging and categorization.



                                                                            
POST https://zylalabs.com/api/6606/gcpaws+vision+api/9696/labeldetection
                                                                            
                                                                        

LabelDetection - Endpoint Features

Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {
    "responses": [
        {
            "labelAnnotations": [
                {
                    "mid": "/m/01h1dd",
                    "locale": "",
                    "description": "Publication",
                    "score": 0.9289683103561401,
                    "confidence": 0,
                    "topicality": 0.018567707389593124
                },
                {
                    "mid": "/m/011s0",
                    "locale": "",
                    "description": "Advertising",
                    "score": 0.7848548889160156,
                    "confidence": 0,
                    "topicality": 0.013198168016970158
                },
                {
                    "mid": "/m/058sv",
                    "locale": "",
                    "description": "Magazine",
                    "score": 0.7781451344490051,
                    "confidence": 0,
                    "topicality": 0.40055954456329346
                },
                {
                    "mid": "/m/05jhg",
                    "locale": "",
                    "description": "News",
                    "score": 0.7445180416107178,
                    "confidence": 0,
                    "topicality": 0.013070794753730297
                },
                {
                    "mid": "/m/01n5jq",
                    "locale": "",
                    "description": "Poster",
                    "score": 0.7343823909759521,
                    "confidence": 0,
                    "topicality": 0.09702588617801666
                },
                {
                    "mid": "/m/05jnl",
                    "locale": "",
                    "description": "Newspaper",
                    "score": 0.6354361772537231,
                    "confidence": 0,
                    "topicality": 0.05380933731794357
                },
                {
                    "mid": "/m/09xbm8",
                    "locale": "",
                    "description": "Book cover",
                    "score": 0.6116312742233276,
                    "confidence": 0,
                    "topicality": 0.017553526908159256
                },
                {
                    "mid": "/m/0bt_c3",
                    "locale": "",
                    "description": "Book",
                    "score": 0.6056229472160339,
                    "confidence": 0,
                    "topicality": 0.11345262825489044
                },
                {
                    "mid": "/m/0h8my9s",
                    "locale": "",
                    "description": "Vintage Advertisement",
                    "score": 0.5334368944168091,
                    "confidence": 0,
                    "topicality": 0.0004733947280328721
                }
            ]
        }
    ]
}
                                                                                                                                                                                                                    
                                                                                                    

LabelDetection - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/6606/gcpaws+vision+api/9696/labeldetection' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{
    "image": 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"
}'

    

Detects common product and brand logos within an image and provides bounding boxes and confidence scores.



                                                                            
POST https://zylalabs.com/api/6606/gcpaws+vision+api/9697/logodetection
                                                                            
                                                                        

LogoDetection - Endpoint Features

Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {
    "responses": [
        {
            "logoAnnotations": [
                {
                    "mid": "/m/045c7b",
                    "locale": "",
                    "description": "Google",
                    "score": 0.6187956929206848,
                    "confidence": 0,
                    "topicality": 0,
                    "boundingPoly": {
                        "vertices": [
                            {
                                "x": 144,
                                "y": 72
                            },
                            {
                                "x": 258,
                                "y": 72
                            },
                            {
                                "x": 258,
                                "y": 129
                            },
                            {
                                "x": 144,
                                "y": 129
                            }
                        ]
                    }
                }
            ]
        }
    ]
}
                                                                                                                                                                                                                    
                                                                                                    

LogoDetection - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/6606/gcpaws+vision+api/9697/logodetection' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{
    "image": 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"
}'

    

**Endpoint: LandmarkDetection** **Description:** The LandmarkDetection endpoint enables users to identify and categorize notable landmarks in images. By providing an image as input, this API utilizes advanced computer vision techniques to analyze the content and accurately detect landmarks such as famous buildings, monuments, natural wonders, and other significant structures. The endpoint returns detailed information, including the name of the detected landmark, its geographic coordinates, and a confidence score indicating the reliability of the detection. This service is ideal for applications in tourism, photography, and location-based services, allowing users to enrich their content with contextual insights about landmarks.



                                                                            
POST https://zylalabs.com/api/6606/gcpaws+vision+api/9698/landmarkdetection
                                                                            
                                                                        

LandmarkDetection - Endpoint Features

Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {
    "responses": [
        {
            "landmarkAnnotations": [
                {
                    "locations": [
                        {
                            "latLng": {
                                "latitude": 53.4630589,
                                "longitude": -2.2913400999999998
                            }
                        }
                    ],
                    "mid": "/m/030lpl",
                    "locale": "",
                    "description": "Old Trafford",
                    "score": 0.6761220693588257,
                    "confidence": 0,
                    "topicality": 0,
                    "boundingPoly": {
                        "vertices": [
                            {
                                "x": 0,
                                "y": 0
                            },
                            {
                                "x": 546,
                                "y": 0
                            },
                            {
                                "x": 546,
                                "y": 315
                            },
                            {
                                "x": 0,
                                "y": 315
                            }
                        ]
                    }
                }
            ]
        }
    ]
}
                                                                                                                                                                                                                    
                                                                                                    

LandmarkDetection - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/6606/gcpaws+vision+api/9698/landmarkdetection' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{
    "image": 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"
}'

    

**Endpoint Description: WebDetection** The WebDetection endpoint leverages advanced image analysis algorithms to identify and extract web-based information related to a given image. When a user submits an image, the endpoint processes it to find relevant web pages, social media profiles, and other online resources that contain information or visual references to the image. Key features include: - **Image Recognition:** Detects objects, logos, and faces within the image to facilitate web search. - **Content Linking:** Provides URLs of web pages where the image appears, along with associated metadata such as page titles and descriptions. - **Related Images:** Returns similar images found on the web, enhancing the context and relevance of the original photo. - **Bounding Boxes:** Highlights detected objects within the image with bounding boxes for easier visual identification. This endpoint is ideal for applications in digital asset management, image copyright verification, brand monitoring, and enhancing visual content discovery. Users can expect comprehensive results that link digital imagery to its online presence and context.



                                                                            
POST https://zylalabs.com/api/6606/gcpaws+vision+api/9700/webdetection
                                                                            
                                                                        

WebDetection - Endpoint Features

Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {
    "responses": [
        {
            "webDetection": {
                "visuallySimilarImages": [
                    {
                        "url": "https://www.stoptb.org/sites/default/files/styles/team_photo/public/imported/team/terezakasaeva.jpg.png?itok=v0kQXDcA",
                        "score": 0
                    },
                    {
                        "url": "https://photos.psychologytoday.com/82567eaf-0964-4e92-889d-af8494c0ceba/1/320x400.jpeg",
                        "score": 0
                    },
                    {
                        "url": "https://the-cs.org/static/media/13.0ae6605f0b7c8eb27493.jpg",
                        "score": 0
                    },
                    {
                        "url": "https://robo.princeton.edu/sites/g/files/toruqf1606/files/styles/3x4_750w_1000h/public/2024-03/parastoo.png?itok=AMv1X2j2",
                        "score": 0
                    },
                    {
                        "url": "https://aurak.ac.ae/storage/media/1-rania.jpg",
                        "score": 0
                    },
                    {
                        "url": "https://policyoptions.irpp.org/wp-content/uploads/sites/2/2024/11/Rupinder-Liddar-300x300.jpg",
                        "score": 0
                    },
                    {
                        "url": "https://s3.amazonaws.com/arc-authors/washpost/7667eb91-8589-44d4-b5f0-b6dc8fe4f663.png",
                        "score": 0
                    },
                    {
                        "url": "https://www.constructionbriefing.com/Images/270xany/20240814-125012-Me--Profile-copy.jpg",
                        "score": 0
                    },
                    {
                        "url": "https://images.ctfassets.net/txbhe1wabmyx/2NPMewRZBoECd4zw8JIfyh/b270efccf897c53fe9d7701682a9cd22/Ania-Calderon.jpeg",
                        "score": 0
                    },
                    {
                        "url": "https://www.sickkids.ca/siteassets/images/staff-headshots/cara-baluyot-headshot-300.jpg?height=450&width=133&mode=min&metadata=false&dt=638307408570000000",
                        "score": 0
                    }
                ],
                "bestGuessLabels": [
                    {
                        "label": "girl",
                        "languageCode": ""
                    }
                ]
            }
        }
    ]
}
                                                                                                                                                                                                                    
                                                                                                    

WebDetection - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/6606/gcpaws+vision+api/9700/webdetection' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{
    "image": "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"
}'

    

The SafeSearchDetection endpoint analyzes images to identify explicit content across multiple categories, including adult, spoof, medical, violence, and racy. It delivers detailed likelihood ratings for each category, enabling effective content moderation and enhancing safety in user-generated content environments.



                                                                            
POST https://zylalabs.com/api/6606/gcpaws+vision+api/9690/safesearchdetection
                                                                            
                                                                        

SafeSearchDetection - Endpoint Features

Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {
    "responses": [
        {
            "safeSearchAnnotation": {
                "adult": "LIKELY",
                "spoof": "POSSIBLE",
                "medical": "POSSIBLE",
                "violence": "POSSIBLE",
                "racy": "VERY_LIKELY"
            }
        }
    ]
}
                                                                                                                                                                                                                    
                                                                                                    

SafeSearchDetection - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/6606/gcpaws+vision+api/9690/safesearchdetection' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{
  "image": 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"
}'

    

**Endpoint: CelebritySearch** **Description:** The CelebritySearch endpoint allows users to search for information related to celebrities, including their biographies, filmographies, awards, and social media profiles. Users can search by name, and the endpoint returns relevant details such as the celebrity's date of birth, notable works, and a brief overview of their career. The response can include a list of movies or shows they have appeared in, alongside images and links to further resources. This endpoint is ideal for applications related to entertainment, news, or any service looking to provide users with quick access to celebrity data.



                                                                            
POST https://zylalabs.com/api/6606/gcpaws+vision+api/9701/celebritysearch
                                                                            
                                                                        

CelebritySearch - Endpoint Features

Object Description
Request Body [Required] Json
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {
    "CelebrityFaces": [
        {
            "Id": "1BW7A6L",
            "KnownGender": {
                "Type": "Female"
            },
            "MatchConfidence": 99.99288177490234,
            "Name": "Angelina Jolie",
            "Urls": [
                "www.wikidata.org/wiki/Q13909",
                "www.imdb.com/name/nm0001401"
            ]
        }
    ]
}
                                                                                                                                                                                                                    
                                                                                                    

CelebritySearch - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/6606/gcpaws+vision+api/9701/celebritysearch' --header 'Authorization: Bearer YOUR_API_KEY' 

--data-raw '{
    "imageData": 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}'

    

API Access Key & Authentication

After signing up, every developer is assigned a personal API access key, a unique combination of letters and digits provided to access to our API endpoint. To authenticate with the GCPAWS Vision API REST API, simply include your bearer token in the Authorization header.
Headers
Header Description
Authorization [Required] Should be Bearer access_key. See "Your API Access Key" above when you are subscribed.

Simple Transparent Pricing

No long-term commitment. Upgrade, downgrade, or cancel anytime. Free Trial includes up to 50 requests.

πŸš€ Enterprise

Starts at
$ 10,000/Year


  • Custom Volume
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Customer favorite features

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GCPAWS Vision API FAQs

The Safe Search Detection endpoint returns a JSON object containing likelihood ratings for explicit content categories, including adult, spoof, medical, violence, and racy. Each category indicates the likelihood of the content being present, with values such as "LIKELY," "POSSIBLE," or "VERY_LIKELY."

The key fields in the response data include "adult," "spoof," "medical," "violence," and "racy." Each field provides a likelihood rating that helps in content moderation decisions.

The response data is organized in a JSON format, encapsulated within a "responses" array. Each response contains a "safeSearchAnnotation" object that holds the likelihood ratings for various content categories.

The Ping endpoint provides a simple acknowledgment of the API's operational status. It returns a JSON object with a "status" field, typically indicating "OK," confirming that the service is responsive.

The Safe Search Detection endpoint accepts an image file as input, which can be provided in various formats such as JPEG or PNG. Users can customize their requests by submitting different images for analysis.

Users can utilize the returned likelihood ratings to implement content moderation strategies, filtering out images based on the explicit content categories. For example, images rated "VERY_LIKELY" for adult content can be flagged for review.

Typical use cases include content moderation for social media platforms, image tagging for adult content filtering, and compliance with community guidelines in applications that handle user-generated content.

Data accuracy is maintained through the use of advanced pre-trained machine learning models from Google Cloud Vision and AWS Rekognition, which are continuously updated and refined based on extensive training datasets and user feedback.

General FAQs

Zyla API Hub is like a big store for APIs, where you can find thousands of them all in one place. We also offer dedicated support and real-time monitoring of all APIs. Once you sign up, you can pick and choose which APIs you want to use. Just remember, each API needs its own subscription. But if you subscribe to multiple ones, you'll use the same key for all of them, making things easier for you.

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Additionally, if you already have an active subscription in any of these currencies (USD, EUR, CAD, AUD, GBP), that currency will remain for subsequent subscriptions. You can change the currency at any time as long as you don't have any active subscriptions.

The local currency shown on the pricing page is based on the country of your IP address and is provided for reference only. The actual prices are in USD (United States Dollar). When you make a payment, the charge will appear on your card statement in USD, even if you see the equivalent amount in your local currency on our website. This means you cannot pay directly with your local currency.

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Zyla API Hub works on a recurring monthly subscription system. Your billing cycle will start the day you purchase one of the paid plans, and it will renew the same day of the next month. So be aware to cancel your subscription beforehand if you want to avoid future charges.

To upgrade your current subscription plan, simply go to the pricing page of the API and select the plan you want to upgrade to. The upgrade will be instant, allowing you to immediately enjoy the features of the new plan. Please note that any remaining calls from your previous plan will not be carried over to the new plan, so be aware of this when upgrading. You will be charged the full amount of the new plan.

To check how many API calls you have left for the current month, refer to the β€˜X-Zyla-API-Calls-Monthly-Remaining’ field in the response header. For example, if your plan allows 1,000 requests per month and you've used 100, this field in the response header will indicate 900 remaining calls.

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Yes, you can cancel your plan anytime by going to your account and selecting the cancellation option on the Billing page. Please note that upgrades, downgrades, and cancellations take effect immediately. Additionally, upon cancellation, you will no longer have access to the service, even if you have remaining calls left in your quota.

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To give you the opportunity to experience our APIs without any commitment, we offer a 7-day free trial that allows you to make up to 50 API calls at no cost. This trial can be used only once, so we recommend applying it to the API that interests you the most. While most of our APIs offer a free trial, some may not. The trial concludes after 7 days or once you've made 50 requests, whichever occurs first. If you reach the 50 request limit during the trial, you will need to "Start Your Paid Plan" to continue making requests. You can find the "Start Your Paid Plan" button in your profile under Subscription -> Choose the API you are subscribed to -> Pricing tab. Alternatively, if you don't cancel your subscription before the 7th day, your free trial will end, and your plan will automatically be billed, granting you access to all the API calls specified in your plan. Please keep this in mind to avoid unwanted charges.

After 7 days, you will be charged the full amount for the plan you were subscribed to during the trial. Therefore, it’s important to cancel before the trial period ends. Refund requests for forgetting to cancel on time are not accepted.

When you subscribe to an API free trial, you can make up to 50 API calls. If you wish to make additional API calls beyond this limit, the API will prompt you to perform an "Start Your Paid Plan." You can find the "Start Your Paid Plan" button in your profile under Subscription -> Choose the API you are subscribed to -> Pricing tab.

Payout Orders are processed between the 20th and the 30th of each month. If you submit your request before the 20th, your payment will be processed within this timeframe.


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