pytorch-yolo-v3

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

3312 stars · 1044 forks observed · 2026-08-28

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

A minimal PyTorch implementation of the YOLO v3 object detection algorithm, supporting detection on images and video with configurable resolution and confidence thresholds. It is accompanied by a detailed 5-part tutorial series explaining how to build the detector from scratch.

Use cases

• run object detection on images with yolo v3 in pytorch
• detect objects in video files using yolo
• learn how to implement yolo v3 from scratch
• understand yolo network architecture and non-maximum suppression
• experiment with yolo v3 weights on custom images
• study a minimal pytorch object detector codebase

When to choose

• you want a readable, minimal YOLO v3 implementation for learning or research
• you need inference-only object detection with pretrained COCO weights
• you want to follow a step-by-step tutorial on building YOLO v3 in PyTorch

When to avoid

• you need training code - only the detection module is implemented
• you need a maintained, production-ready detector with active issue support
• you require modern PyTorch versions - the code targets PyTorch 0.4 and Python 3.5
• you need a license for commercial use - no license is provided

Facets

library · maturity maintenance

computer-vision image-processing deep-learning machine-learning computer-vision deep-learning machine-learning image-processing python cross-platform yolo yolov3 object-detection pytorch tutorial inference linux gpu

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markdown · JSON · MCP: product_card(name="ayooshkathuria/pytorch-yolo-v3")