hoya012/deep_learning_object_detection resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

11385 stars · 2745 forks observed · 2026-08-28

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

A curated list of research papers on object detection using deep learning, spanning 2014 to 2020, with performance tables, dataset papers, and links to official and unofficial code implementations. It is a reference resource rather than executable software.

Use cases

• find papers on object detection with deep learning
• survey the history of object detection models from 2014 to 2020
• find code implementations for detection papers like YOLO and Faster R-CNN
• compare performance benchmarks of object detection models
• find datasets for training object detection models
• get reading recommendations for learning object detection

When to choose

• you need a curated reading list of object detection research papers
• you want historical context and evolution of detection architectures
• you want links to official and unofficial code for detection papers

When to avoid

• you need a ready-to-use object detection model or library
• you need up-to-date coverage of recent research after 2020
• you need a maintained tool with a license and active development

Facets

learning-resource · maturity maintenance

deep-learning computer-vision documentation deep-learning computer-vision tutorials awesome-lists cross-platform awesome-list paper-list object-detection survey research-papers

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For agents

markdown · JSON · MCP: product_card(name="hoya012/deep_learning_object_detection")