चेहरे के निशान API

हमारे फेसियल लैंडमार्क्स डिटेक्शन एपीआई के साथ चेहरे के लैंडमार्क्स को सटीकता से पहचानें और विश्लेषण करें जो कि चेहरे की विशेषताओं और आकृति की पहचान के लिए 201 प्रमुख बिंदुओं का समर्थन करता है

इस API को अपने AI एजेंट से MCP के माध्यम से उपयोग करें

OpenClaw, Claude Code/Desktop, Cursor, Windsurf, Cline और किसी भी MCP-संगत AI क्लाइंट के साथ काम करता है।

डॉक्स और सेटअप

इस MCP को रैप करके एक स्किल बनाएं: https://mcp.zylalabs.com/mcp?apikey=YOUR_ZYLA_API_KEY

हमारा फेसियल लैंडमार्क्स डिटेक्शन एपीआई उच्च सटीकता के साथ चेहरे के लैंडमार्क्स का पता लगाने और विश्लेषण करने के लिए एक उन्नत समाधान प्रदान करता है यह एपीआई 72, 150, और 201 कुंजी बिंदुओं की पहचान का समर्थन करता है जो आंखों, भौंहों, होंठों और नथुने जैसी महत्वपूर्ण चेहरे की विशेषताओं को कवर करता है इसके अतिरिक्त यह भौंहों, आंखों, नाक, मOUTH, और गालों सहित चेहरे की विशेषताओं का सटीक स्थान निर्धारण प्रदान करता है तथा एकल और कई चेहरों के लिए चेहरे की आकृतियों की सटीक पहचान करता है एपीआई में चेहरे के कोण का अनुमान लगाने की सुविधा भी है जो छवि में विभिन्न चेहरे की पोज़ का निर्धारण करने में मदद करती है यह फोटोग्राफी, संवर्धित वास्तविकता और बायोमैट्रिक सुरक्षा के क्षेत्रों में डेवलपर्स के लिए आदर्श है यह एपीआई चेहरे की पहचान और छवि प्रसंस्करण क्षमताओं को बढ़ावा देता है हमारे फेसियल लैंडमार्क्स डिटेक्शन एपीआई को आपके अनुप्रयोग में एकीकृत करें ताकि उपयोगकर्ताओं को मजबूत और सटीक चेहरे के विश्लेषण उपकरण प्रदान किए जा सकें आपकी चेहरे की पहचान और छवि संपादन समाधानों की सटीकता और कार्यक्षमता में सुधार हो सके

अनुप्रयोग परिदृश्य

इंटरएक्टिव मनोरंजन: यह चेहरे की विशेषताओं और आकृतियों की सटीक स्थिति का समर्थन करता है और विशेष प्रभाव कैमरा, गतिशील स्टिकर और छोटे वीडियो प्ले जैसे इंटरएक्टिव मनोरंजन कार्यों को लागू कर सकता है
चेहरे की विशेषता विश्लेषण: चेहरे की विशेषताओं और आकृतियों की सटीक स्थिति का समर्थन करता है ताकि चेहरे की विशेषता विश्लेषण किया जा सके जो बुद्धिमान चिकित्सा सौंदर्य और अन्य उत्पादों में उतरता है
सौंदर्य शूटिंग: उच्च-सटीक चेहरे के कुंजी बिंदुओं को सुंदरता के लिए आकार दिया जा सकता है जो चित्रों, वीडियो और लाइव प्रसारण जैसे विभिन्न सौंदर्य परिदृश्यों में उतरता है

विशेष लाभ

उच्च सटीकता का एल्गोरिदम: बड़े मात्रा में सटीक लेबल डेटा प्रशिक्षण के आधार पर, एल्गोरिदम अत्यधिक सटीक है, चेहरे के साथ पूरी तरह से फिट बैठता है और विभिन्न चेहरे के स्थिति और भावनाओं के लिए अनुकूलित होता है
व्यापक अनुप्रयोगों की श्रृंखला: विभिन्न तस्वीरों और चेहरे के आकार का समर्थन करता है, विभिन्न इनडोर, आउटडोर और अन्य पर्यावरणीय परिदृश्यों का समर्थन करता है, और विभिन्न व्यापार विस्तार की सुविधा प्रदान करता है
स्थिर और विश्वसनीय सेवा: स्थिर और सटीक उच्च यातायात सेवा प्रदान करता है, और मिलीसेकंड पहचान प्रतिक्रिया का समर्थन करता है

API डॉक्यूमेंटेशन

एंडपॉइंट्स

चेहरे के संकेतक

हमारे चेहरे की पहचान करने वाले एपीआई के साथ सटीक रूप से चेहरे के लैंडमार्क का पता लगाएं और विश्लेषण करें जो 201 कुंजी बिंदुओं का समर्थन करता है ताकि चेहरे की विशेषता और आकृति की पहचान सटीक हो सके

अनुरोध

छवि आवश्यकताएँ

छवि प्रारूप: JPEG, JPG, BMP, PNG
छवि आकार: 8 MB से अधिक नहीं
छवि रिज़ॉल्यूशन: 1920x1080px से कम

शरीर

क्षेत्र	आवश्यक	प्रकार	क्षेत्र	डिफ़ॉल्ट	उदाहरण	विवरण
`image`	हाँ	`file`
`max_face_num`	नहीं	`integer`	1 2 3 4 5 6 7 8 9 10	1		प्रक्रमित करने के लिए अधिकतम चेहरे की संख्या. डिफ़ॉल्ट मूल्य `1` है (छवि में सबसे बड़े क्षेत्र वाले चेहरे का ही पता लगाया जाता है)
`face_field`	नहीं	`string`	age gender landmark4 landmark72 landmark150 landmark201		`age,gender,landmark4`	चेहरे के बारे में अधिक जानकारी लौटाता है (डिफ़ॉल्ट रूप से केवल face_token, face frame, probability और rotation angle लौटाए जाते हैं) `age`: उम्र की जानकारी `gender`: लिंग की जानकारी `landmark4`: 4 विशेषता बिंदु `landmark72`: 72 विशेषता बिंदु `landmark150`: 150 विशेषता बिंदु `landmark201`: 201 विशेषता बिंदु

                                                                            
POST https://zylalabs.com/api/4439/facial+landmarks+api/5452/facial+landmarks

चेहरे के संकेतक - एंडपॉइंट फीचर्स

ऑब्जेक्ट	विवरण
`max_face_num`	वैकल्पिक The maximum number of faces to process. The default value is 1 (only the face with the largest area in the image is detected). `1` `2` `3` `4` `5` `6` `7` `8` `9` `10`
`face_field`	वैकल्पिक Returns more information about the face (by default only face_token, face frame, probability and rotation angle are returned). `age`: Age information. `gender`: Gender information. `landmark4`: 4 feature points. `landmark72`: 72 feature points. `landmark150`: 150 feature points. `landmark201`: 201 feature points.
`रिक्वेस्ट बॉडी`	[आवश्यक] फाइल बाइनरी

एंडपॉइंट टेस्ट करें

API उदाहरण प्रतिक्रिया

       
                                                                                                        
                                                                                                                                                                                                                                                                                                                                        {"error_code":0,"error_detail":{"status_code":200,"code":"","code_message":"","message":""},"log_id":"3029321544","request_id":"3029321544","result":{"face_num":1,"face_list":[{"face_token":"cc9e38750f16ed1669e80080bbe675cd","location":{"left":227.4,"top":297.37,"width":428,"height":390,"rotation":9},"face_probability":1,"angle":{"yaw":-5.4,"pitch":4.11,"roll":6.5},"age":23,"gender":{"type":"female","probability":1},"landmark4":[{"x":342.55,"y":392.89},{"x":537.16,"y":425.52},{"x":444.49,"y":492},{"x":417.93,"y":598.68}],"landmark72":[{"x":211.42,"y":389.11},{"x":211.45,"y":454.33},{"x":217.19,"y":520.68},{"x":230.51,"y":587.25},{"x":272.21,"y":653.61},{"x":333.86,"y":701.47},{"x":397.65,"y":722.14},{"x":458.56,"y":714.69},{"x":521.82,"y":680.24},{"x":567.83,"y":629.46},{"x":595.26,"y":573.74},{"x":617.43,"y":516.93},{"x":634.24,"y":460.12},{"x":292.98,"y":390.39},{"x":318.13,"y":376.28},{"x":344.48,"y":374.84},{"x":368.84,"y":386.52},{"x":387.21,"y":412.33},{"x":362.76,"y":414.49},{"x":335.75,"y":413.25},{"x":310.65,"y":404.53},{"x":342.55,"y":392.89},{"x":267.67,"y":337.43},{"x":307.64,"y":313.65},{"x":348.79,"y":317.8},{"x":384.91,"y":330.65},{"x":414.2,"y":361.04},{"x":378.63,"y":350.6},{"x":343.11,"y":336.44},{"x":306.05,"y":330},{"x":496.1,"y":431.47},{"x":520.92,"y":411.42},{"x":547.64,"y":408.35},{"x":570.53,"y":418.62},{"x":587.01,"y":440.4},{"x":567.85,"y":447.97},{"x":543.23,"y":448.07},{"x":517.74,"y":440.38},{"x":537.16,"y":425.52},{"x":496.91,"y":377.12},{"x":531.03,"y":357.65},{"x":565.65,"y":356.6},{"x":601.4,"y":364.84},{"x":625.76,"y":397.18},{"x":597.98,"y":379.65},{"x":565.2,"y":375.88},{"x":531.03,"y":377.78},{"x":418.64,"y":417.49},{"x":409.97,"y":447.95},{"x":400.39,"y":478.22},{"x":383.7,"y":515.63},{"x":413.63,"y":516.49},{"x":458.04,"y":524.06},{"x":479.96,"y":530.58},{"x":476.66,"y":489.77},{"x":474.56,"y":457.83},{"x":472.9,"y":426.24},{"x":444.49,"y":492},{"x":344.52,"y":588.53},{"x":381.99,"y":565.59},{"x":426.46,"y":565.31},{"x":464,"y":578.93},{"x":483.89,"y":612.39},{"x":453.93,"y":633.54},{"x":412.94,"y":637.6},{"x":371.08,"y":619.74},{"x":383.01,"y":583.79},{"x":422.29,"y":586.94},{"x":456.09,"y":596},{"x":451.53,"y":609.57},{"x":417.9,"y":605.64},{"x":381.4,"y":598.02}],"landmark150":{"cheek_right_1":{"x":213.31,"y":376.48},"cheek_right_3":{"x":212.31,"y":445},"cheek_right_5":{"x":216.89,"y":514.34},"cheek_right_7":{"x":228.12,"y":584.53},"cheek_right_9":{"x":270.75,"y":653.04},"cheek_right_11":{"x":332.93,"y":699.57},"chin_2":{"x":398.69,"y":722.57},"cheek_left_11":{"x":462.08,"y":717.99},"cheek_left_9":{"x":525.5,"y":684.85},"cheek_left_7":{"x":569.52,"y":629.84},"cheek_left_5":{"x":595.66,"y":570.57},"cheek_left_3":{"x":617.83,"y":511.85},"cheek_left_1":{"x":633.71,"y":451.79},"eye_right_corner_right":{"x":293.33,"y":390.13},"eye_right_eyelid_upper_2":{"x":318.25,"y":377.04},"eye_right_eyelid_upper_4":{"x":344.68,"y":375.49},"eye_right_eyelid_upper_6":{"x":369.89,"y":386.77},"eye_right_corner_left":{"x":390.44,"y":410.11},"eye_right_eyelid_lower_6":{"x":365.1,"y":412.33},"eye_right_eyelid_lower_4":{"x":337.94,"y":411.41},"eye_right_eyelid_lower_2":{"x":312.77,"y":403.81},"eye_right_eyeball_center":{"x":341.34,"y":392.67},"eyebrow_right_corner_right":{"x":266.1,"y":339.17},"eyebrow_right_upper_2":{"x":303.64,"y":314.75},"eyebrow_right_upper_3":{"x":344.8,"y":317.85},"eyebrow_right_upper_4":{"x":381.22,"y":331.85},"eyebrow_right_corner_left":{"x":410.94,"y":362.62},"eyebrow_right_lower_3":{"x":374.82,"y":350.73},"eyebrow_right_lower_2":{"x":340.14,"y":335.51},"eyebrow_right_lower_1":{"x":302.89,"y":329.1},"eye_left_corner_right":{"x":492.67,"y":428.42},"eye_left_eyelid_upper_2":{"x":518.31,"y":410.95},"eye_left_eyelid_upper_4":{"x":545.71,"y":408.81},"eye_left_eyelid_upper_6":{"x":569,"y":419.01},"eye_left_corner_left":{"x":585.88,"y":440.01},"eye_left_eyelid_lower_6":{"x":565.43,"y":446.83},"eye_left_eyelid_lower_4":{"x":540.8,"y":446.05},"eye_left_eyelid_lower_2":{"x":515,"y":438.53},"eye_left_eyeball_center":{"x":536.12,"y":425.9},"eyebrow_left_corner_right":{"x":495.13,"y":377.7},"eyebrow_left_upper_2":{"x":529.83,"y":358.02},"eyebrow_left_upper_3":{"x":565,"y":356.28},"eyebrow_left_upper_4":{"x":599.49,"y":366.73},"eyebrow_left_corner_left":{"x":619.9,"y":400.87},"eyebrow_left_lower_3":{"x":595.48,"y":380.91},"eyebrow_left_lower_2":{"x":563.7,"y":375.62},"eyebrow_left_lower_1":{"x":529.85,"y":378.42},"nose_right_contour_1":{"x":418.86,"y":416.29},"nose_right_contour_2":{"x":410.51,"y":446.37},"nose_right_contour_3":{"x":402.36,"y":476.4},"nose_right_contour_4":{"x":383.4,"y":513.02},"nose_right_contour_6":{"x":410.52,"y":516.68},"nose_left_contour_6":{"x":456.86,"y":525.44},"nose_left_contour_4":{"x":478.09,"y":528.98},"nose_left_contour_3":{"x":474.87,"y":488.63},"nose_left_contour_2":{"x":473.23,"y":457.12},"nose_left_contour_1":{"x":471.49,"y":425.63},"nose_tip":{"x":442.2,"y":496.31},"mouth_corner_right_outer":{"x":341.24,"y":585.81},"mouth_lip_upper_outer_3":{"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te":"Response truncated for documentation purposes"}

चेहरे के संकेतक - कोड स्निपेट्स


    curl --location 'https://zylalabs.com/api/4439/facial+landmarks+api/5452/facial+landmarks' \
    --header 'Content-Type: application/json' \ 
    --form 'image=@"FILE_PATH"'

API एक्सेस कुंजी और प्रमाणीकरण

साइन अप करने के बाद, प्रत्येक डेवलपर को एक पर्सनल API एक्सेस की असाइन की जाती है, जो अक्षरों और अंकों का एक यूनिक संयोजन होता है, जिसका उपयोग हमारे API एंडपॉइंट तक पहुंचने के लिए किया जाता है। प्रमाणीकरण के लिए चेहरे के निशान API के साथ बस अपने बेयरर टोकन को Authorization हेडर में शामिल करें।

हेडर्स

हेडर	विवरण
`Authorization`	[आवश्यक] होना चाहिए `Bearer access_key`. जब आप सब्सक्राइब हों तो ऊपर "Your API Access Key" देखें।

प्रश्न

सरल पारदर्शी प्राइसिंग

कोई लंबी अवधि की प्रतिबद्धता नहीं। कभी भी अपग्रेड, डाउनग्रेड या कैंसल करें।