bubbliiiing/yolo3-pytorch

Health v2 · maintenance only

Adoption not part of the score

2112 stars · 576 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch implementation of the YOLOv3 object detection model with full training, prediction, and evaluation scripts. It supports training on custom VOC-format datasets and includes pretrained COCO weights.

Use cases

• train a custom object detection model on my own images
• run YOLOv3 inference on photos or video
• detect objects in images with pretrained COCO weights
• fine-tune YOLOv3 on a VOC-format dataset
• evaluate object detection mAP on a validation set
• learn how YOLOv3 works by reading annotated source code

When to choose

• you want a readable, well-commented YOLOv3 implementation for learning or teaching
• you need to train YOLOv3 on your own VOC-format dataset in PyTorch
• you want a simple training/prediction/evaluation pipeline without heavy framework dependencies

When to avoid

• you need state-of-the-art detection accuracy or speed (newer YOLO versions exist)
• you require production-grade serving, ONNX/TensorRT export, or long-term maintenance
• you need a framework with extensive ecosystem support like Ultralytics YOLO

Facets

library · maturity maintenance

machine-learning deep-learning computer-vision image-processing computer-vision deep-learning machine-learning image-processing python cross-platform object-detection yolo yolov3 pytorch training inference custom-dataset voc-dataset coco gpu

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markdown · JSON · MCP: product_card(name="bubbliiiing/yolo3-pytorch")