#252 · Primary category: Computer Vision

yolov3-tf2

deep-learning machine-learning neural-network object-detection tensorflow tensorflow-examples tensorflow-tutorials tf2 yolo yolov3

YoloV3 Implemented in Tensorflow 2.0

Project last updated:08/30/24

GitHub Stars

2.5K

Forks

888

Contributors

23

License

MIT

Why we included this project

This TensorFlow 2 implementation of YOLOv3 is a clean, readable reference rather than a production package. It comes with conversion scripts and pre-trained Darknet weights for both the full model and the faster tiny variant, so you can run detection on images, videos, or a live webcam within minutes. The repo also demonstrates two training paths, eager gradient tape and the standard model.fit workflow, which is helpful if you plan to fine-tune the model on your own classes. A TensorFlow Serving export is included for pushing a trained model into a service. Just expect to adapt the code to newer TF releases, since the project is a learning base more than an actively maintained library.

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