amusi/awesome-object-detection resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

7505 stars · 1919 forks observed · 2026-08-28

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

A curated awesome-list of papers, code repositories, and surveys on object detection in deep learning, covering models from R-CNN and YOLO to SSD, RetinaNet, and 3D/zero-shot detection. It is a reference catalog rather than runnable software, based on handong1587's deep learning notes.

Use cases

• find papers on object detection models like YOLO and Faster R-CNN
• get a survey of deep learning based object detection research
• find official code implementations for detection models
• learn about object detection methods chronologically
• research weakly supervised or zero-shot object detection

When to choose

• you need a curated index of object detection papers and their code
• you are surveying the object detection literature for research or study

When to avoid

• you need a ready-to-use detection model or inference library
• you need actively maintained tooling rather than a paper list

Facets

learning-resource · maturity maintenance

computer-vision deep-learning machine-learning computer-vision deep-learning artificial-intelligence awesome-lists cross-platform awesome-list object-detection curated-papers yolo rcnn ssd

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markdown · JSON · MCP: product_card(name="amusi/awesome-object-detection")