# bubbliiiing/faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

Repository: https://github.com/bubbliiiing/faster-rcnn-pytorch
Canonical: https://ross.abutalabs.com/products/faster-rcnn-pytorch
Language: Python
License: MIT
License Family: permissive
Last push: 2023-10-03T22:49:17+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2320, "days_push": 1065, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1833, forks 362 (observed 2026-08-28T04:05:42.368820+00:00)

## What it is
A PyTorch implementation of the Faster R-CNN two-stage object detection model, supporting training on VOC-format datasets with ResNet or VGG backbones. It includes pretrained weights, training/prediction/evaluation scripts, and extensive comments aimed at learners.

## Use cases
- train a faster rcnn object detector on my own dataset
- pytorch implementation of faster rcnn
- object detection with voc format annotations
- learn how two-stage object detection works
- run object detection on images and videos with pretrained weights
- fine-tune faster rcnn with custom classes

## When to choose
- you want a readable, well-commented Faster R-CNN implementation for learning or teaching
- your data is in or convertible to VOC format
- you need a working baseline detector with pretrained VOC weights

## When to avoid
- you need production-grade, actively maintained detection tooling
- you want the latest architectures like DETR or YOLO variants
- you need COCO-format support or recent PyTorch versions out of the box

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, computer-vision, image-processing
- domain: deep-learning, computer-vision, machine-learning, image-processing
- platform: python, cross-platform
- tags: object-detection, faster-rcnn, pytorch, voc-dataset, two-stage-detector, pretrained-weights, educational, gpu

## Member repositories
- bubbliiiing/faster-rcnn-pytorch (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:42.368820+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 2026-08-30T03:18:37.559754+00:00, confidence not recorded.
  - readme: https://github.com/bubbliiiing/faster-rcnn-pytorch (fetched 2026-08-28T04:05:42.368820+00:00, sha 3317c8502e12)
- Data as of 2026-08-30T08:39:29.467469+00:00.