{"id":20648641,"url":"https://github.com/ccextractor/rekognition","last_synced_at":"2025-08-21T23:32:54.112Z","repository":{"id":38848244,"uuid":"187303144","full_name":"CCExtractor/Rekognition","owner":"CCExtractor","description":"Free and Open Source alternative to Amazon's Rekognition service. CCExtractor Development | Poor Man's 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Poor Man's Rekognition\n---\n![](https://www.ccextractor.org/_media/public:gsoc:gsoc-cc.png)\nGoogle Summer Of Code Project under CCExtractor Development\n\n[![Build Status](https://travis-ci.org/ccextractor/Rekognition.svg?branch=master)](https://travis-ci.org/CCExtractor/Rekognition)\n[![Python 3.X](https://img.shields.io/badge/python-3.X-blue.svg)](https://www.python.org/downloads/)\n[![GPLv3 license](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://github.com/ccextractor/Rekognition/blob/master/LICENSE)\n\n---\nThis project aims at providing a free alternative to Amazon Rekognition services.\n\n\n## Setup\n### For End-User\n```\ngit clone https://github.com/pymit/Rekognition\n\ndocker image build ./\n```\nNote down the IMAGEID at the end and run the docker\n\n```\ndocker run -p 8000:8000 \u003cIMAGEID\u003e\n```\n### For Developers\nTo setup the project locally for development environment check this wiki [link](https://github.com/YB221/Rekognition/blob/master/contributing.md)\n\n\n## Usage\nThis project currently supports\n| Feature     | cURL        |\n| :---        | :----       |\nFace Recognition with FaceNet  |`curl -i -X POST -H \"Content-Type: multipart/form-data \" -F \"file=@\u003cpath to image file\u003e \" --form network=1 http://127.0.0.1:8000/api/image/` | \nFace Recognition with RetinaNet  |`curl -i -X POST -H \"Content-Type: multipart/form-data \" -F \"file=@\u003cpath to image file\u003e \" --form network=2 http://127.0.0.1:8000/api/image/`    |\n| Similar Face Search   | `curl -i -X POST -H \"Content-Type: multipart/form-data\" -F \"file=@ \u003cpath to reference image\u003e\" -F \"compareImage=@ \u003cpath to compare Image\u003e\" http://127.0.0.1:8000/api/simface/`               |\n| NSFW Classifier       | `curl -i -X POST -H \"Content-Type: multipart/form-data \" -F \"file=@\u003cpath to image file\u003e \" http://127.0.0.1:8000/api/nsfw/`        |\n| Text Extraction       | `curl -i -X POST -H \"Content-Type: multipart/form-data \" -F \"file=@\u003cpath to image file\u003e \" http://127.0.0.1:8000/api/scenetext/`   |\n| Object Detection      | `curl -i -X POST -H \"Content-Type: multipart/form-data \" -F \"file=@\u003cpath to image file\u003e \" http://127.0.0.1:8000/api/objects/`     |\n| Scene Classification  | `curl -i -X POST -H \"Content-Type: multipart/form-data \" -F \"file=@\u003cpath to image file\u003e \" http://127.0.0.1:8000/api/scenedetect/` |\n\nDetails on documentation can be found [here](https://github.com/pymit/Rekognition/wiki/API-Documentation).\n\n\n## Communication\nReal-time communication for this project happens on slack channel of CCExtractor Development, channel [link](https://rhccgsoc15.slack.com/). You may join this channel via this [link](https://ccextractor.org/public:general:support)\n\n\n## References\nThis project uses the following.\n1. [FaceNet](https://github.com/davidsandberg/facenet)\n2. [CRNN](https://arxiv.org/pdf/1507.05717.pdf)\n3. [EAST](https://arxiv.org/pdf/1704.03155.pdf)\n4. [Synth90k](https://www.robots.ox.ac.uk/~vgg/data/text/)\n5. [YOLOv3](https://pjreddie.com/darknet/yolo/)\n6. [Places365](http://places2.csail.mit.edu/)\n7. [RetinaFace](https://arxiv.org/pdf/1905.00641.pdf)\n\n\n## License\nThis software is licensed under GNU GPLv3. Please see the included [License file](https://github.com/pymit/Rekognition/blob/master/LICENSE).\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fccextractor%2Frekognition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fccextractor%2Frekognition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fccextractor%2Frekognition/lists"}