# smallcorgi/Faster-RCNN_TF

Faster-RCNN in Tensorflow

Repository: https://github.com/smallcorgi/Faster-RCNN_TF
Canonical: https://ross.abutalabs.com/products/faster-rcnn_tf
Language: Python
License: MIT
License Family: permissive
Topics: tensorflow, detection, faster-rcnn
Last push: 2021-10-28T09:17:08+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": 3647, "days_push": 1770, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2342, forks 1091 (observed 2026-08-28T04:06:39.083404+00:00)

## What it is
A TensorFlow implementation of Faster R-CNN, a convolutional neural network for object detection with a region proposal network. It includes a demo with a pre-trained VGG16 model on PASCAL VOC 2007 and scripts for training on custom datasets.

## Use cases
- run object detection on images with a pre-trained Faster R-CNN model
- train a Faster R-CNN detector on PASCAL VOC 2007
- reproduce Faster R-CNN research results in TensorFlow
- study a reference implementation of region proposal networks
- fine-tune a VGG16-based detector for custom object classes

## When to choose
- you need a TensorFlow-based Faster R-CNN implementation for object detection research
- you want to train or evaluate on PASCAL VOC with a VGG16 backbone
- you need a lightweight detector that fits in 3GB of GPU memory
- you want readable code to learn how Faster R-CNN works internally

## When to avoid
- you need state-of-the-art detection accuracy or modern architectures like DETR or YOLO
- you require active maintenance, recent TensorFlow 2.x support, or long-term updates
- you need production-ready deployment tooling or model export pipelines
- you want a simple high-level API rather than a research codebase

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, computer-vision, image-processing
- domain: computer-vision, deep-learning, machine-learning, image-processing
- platform: python, cross-platform
- tags: object-detection, faster-rcnn, tensorflow, region-proposal-network, vgg16, pascal-voc, convnet, research-code, cython, opencv, gpu, linux

## Member repositories
- smallcorgi/Faster-RCNN_TF (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:39.083404+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:37:21.496683+00:00, confidence not recorded.
  - readme: https://github.com/smallcorgi/Faster-RCNN_TF (fetched 2026-08-28T04:06:39.083404+00:00, sha ca0dc5af225a)
- Data as of 2026-08-30T08:39:29.467469+00:00.