YunYang1994/tensorflow-yolov3

Health v2 · maintenance only

Adoption not part of the score

3614 stars · 1323 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A TensorFlow 1.x implementation of the YOLOv3 real-time object detector, reproducing the 'YOLOv3: An Incremental Improvement' paper. It supports inference with pretrained COCO weights on images and video, as well as training on custom datasets like VOC.

Use cases

• run yolov3 object detection on images and video with tensorflow
• train yolov3 on a custom dataset
• convert darknet coco weights to tensorflow checkpoint
• learn how yolov3 works by reading a from-scratch implementation
• detect objects in real time using pretrained weights

When to choose

• you need a readable, educational YOLOv3 implementation in TensorFlow 1.x
• you want to train YOLOv3 on custom VOC-style datasets
• you need to export frozen .pb graphs for deployment

When to avoid

• you use TensorFlow 2.x exclusively - the author maintains a separate TF2 implementation
• you need the latest YOLO versions or state-of-the-art accuracy
• you need actively maintained code with quick issue resolution

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision image-processing computer-vision deep-learning machine-learning image-processing python windows yolov3 object-detection tensorflow coco voc-dataset model-training linux macos

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