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kby-ai/face-recognition-docker
face-recognition-docker is a machine learning model from kby-ai. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Updated Aug 27, 2026
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From the Hugging Face model README
For more information, visit KBY AI's GitHub Repository.
This Docker image implements face recognition technology via a Flask API and Gradio.<br/>
It includes features that allow for testing face recognition between two images using both image files and base64-encoded images.
Our facial recognition algorithm is globally top-ranked by NIST in the FRVT 1:1 leaderboards. (Latest NIST frvt evaluation report 2024-12-20)</br>
sudo docker pull kbyai/face-recognition:latest
sudo docker run -v ./license.txt:/root/kby-ai-face/license.txt -p 8081:8080 -p 9001:9000 kbyai/face-recognition:latest
sudo docker run -e LICENSE="xxxxx" -p 8081:8080 -p 9001:9000 kbyai/face-recognition:latest
This Docker image utilizes KBY-AI's Face Recognition Server SDK, which requires a license for each machine or instance on which it runs.
sudo docker run -e LICENSE="xxxxx" kbyai/face-recognition:latest
Contact us:</br>
🧙Email: [email protected]</br>
🧙Telegram: @kbyaisupport</br>
🧙WhatsApp: +13348402323</br>
🧙Discord: KBY-AI</br>
🧙Teams: KBY-AI</br>
To test the Gradio demo from the Docker image, access it at http://127.0.0.1:9001 or http://localhost:9001.
To test the API, use Postman. Here are the endpoints for testing:
Test with an image file: Send a POST request to http://127.0.0.1:8081/compare_face.
Test with a base64-encoded image: Send a POST request to http://127.0.0.1:8081/compare_face_base64.
Download the Postman collection to access and use these endpoints easily. Click here