# abhineet123/Deep-Learning-for-Tracking-and-Detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

Repository: https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection
Canonical: https://ross.abutalabs.com/products/deep-learning-for-tracking-and-detection
Language: HTML
License Family: other
Topics: deep-learning, object-detection, detection, tracking-by-detection, tracking, papers, paper-collection, code-collection, segmentation, optical-flow
Last push: 2026-03-09T08:39:53+00:00

## Health v2 (maintenance only)
Score: 64/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 71, release rhythm 35, longevity 100
- inputs: {"age_days": 3400, "days_push": 177, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license, no_readme
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2512, forks 650 (observed 2026-08-28T04:06:57.453711+00:00)

## Summary
No AI-extracted summary yet.

## Member repositories
- abhineet123/Deep-Learning-for-Tracking-and-Detection (main) score 64

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:57.453711+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Data as of 2026-08-30T08:39:29.467469+00:00.