ddlee-cn/Obj_Det_Progress_Tracker

Object Detection Progress Tracker

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Emerging

This is a curated list of research papers and their results on object detection tasks, compiled before March 2018. It summarizes various models, their performance metrics (like VOC and COCO scores), frames per second, and specific techniques used. Computer vision researchers or practitioners interested in the historical progression and comparative analysis of early object detection algorithms would find this useful.

127 stars. No commits in the last 6 months.

Use this if you need to quickly review the state-of-the-art in object detection research and performance metrics before 2018, or if you're looking for foundational papers in the field.

Not ideal if you need up-to-date information on the latest object detection models or active research, as this list is no longer maintained.

computer-vision object-detection deep-learning-research image-analysis model-benchmarking
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 22 / 25

How are scores calculated?

Stars

127

Forks

47

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License

GPL-3.0

Last pushed

Mar 18, 2019

Commits (30d)

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