Paw Print Identification API

The Paw Print Identification API analyzes animal paw prints, identifying species with high accuracy and providing confidence scores for each identification.

The Paw Print Identification API is an advanced tool designed to analyze and identify animal species based on the unique characteristics of their paw prints. Using cutting-edge machine learning models, this API allows users to upload images of paw prints, which are then processed to determine the species of the animal that left them. The API leverages a vast dataset of paw print images to train its models, enabling it to recognize a wide variety of animals with impressive accuracy.

API Documentation

Endpoints


To use this endpoint you must indicate a url in the parameter.



                                                                            
POST https://zylalabs.com/api/6340/paw+print+identification+api/9070/detection
                                                                            
                                                                        

Detection - Endpoint Features

Object Description
url [Required] The image URL that you want to classify.
Test Endpoint

API EXAMPLE RESPONSE

       
                                                                                                        
                                                                                                                                                                                                                            {"Example Response":"No response example available for now."}
                                                                                                                                                                                                                    
                                                                                                    

Detection - CODE SNIPPETS


curl --location --request POST 'https://zylalabs.com/api/6340/paw+print+identification+api/9070/detection?url=https://susangsmithphotography.com/cdn/shop/products/susan-g-smith-photographer-african-wildlife-lion-paw-7_aa5693d9-8fa2-435a-8036-667289ac16fb_1997x1997.jpg?v=1619066529' --header 'Authorization: Bearer YOUR_API_KEY' 


    

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 Paw Print Identification 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.

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Paw Print Identification API FAQs

The Detection endpoint returns data identifying the species of the animal based on the uploaded paw print image. The response includes a list of potential species matches along with confidence scores for each identification.

The key fields in the response data include "species" (the identified animal species), "confidence_score" (the accuracy of the identification), and "image_url" (the URL of the uploaded paw print image).

The Detection endpoint requires a single parameter: "image_url," which should be a valid URL pointing to the paw print image you want to analyze.

The response data is organized in a JSON format, containing an array of identified species, each with its corresponding confidence score. This structure allows for easy parsing and analysis.

The API utilizes a vast dataset of paw print images collected from various wildlife studies and databases. This diverse source helps improve the accuracy of species identification.

Data accuracy is maintained through continuous training of machine learning models on updated datasets, along with validation against expert-reviewed paw print samples to ensure reliable species identification.

Typical use cases include wildlife research, conservation efforts, educational purposes, and assisting in tracking animal movements in ecological studies by identifying species from paw prints.

If the API returns partial or empty results, users should check the image quality and ensure the paw print is clear. Additionally, consider trying different images or consulting the API documentation for troubleshooting tips.

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