# chenyuntc/simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Repository: https://github.com/chenyuntc/simple-faster-rcnn-pytorch
Canonical: https://ross.abutalabs.com/products/simple-faster-rcnn-pytorch
Language: Jupyter Notebook
License: NOASSERTION
License Family: other
Topics: pytorch, object-detection, faster-rcnn, voc, visdom, pythonic, cupy
Last push: 2021-05-15T07:10:53+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3189, "days_push": 1936, "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 4027, forks 1115 (observed 2026-08-28T04:08:32.666226+00:00)

## Summary
No AI-extracted summary yet.

## Member repositories
- chenyuntc/simple-faster-rcnn-pytorch (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:32.666226+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.