# open-mmlab/mmrotate

OpenMMLab Rotated Object Detection Toolbox and Benchmark

Repository: https://github.com/open-mmlab/mmrotate
Canonical: https://ross.abutalabs.com/products/mmrotate
Homepage: https://mmrotate.readthedocs.io/en/latest/
Language: Python
License: Apache-2.0
License Family: permissive
Topics: rotated-object, pytorch, openmmlab, detection
Last push: 2024-09-28T11:54:55+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": 1659, "days_push": 704, "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 2163, forks 644 (observed 2026-08-28T04:06:21.149039+00:00)

## What it is
MMRotate is an open-source PyTorch toolbox for rotated object detection, part of the OpenMMLab project. It provides modular components, multiple angle representations, strong baselines, and a model zoo of state-of-the-art rotated detection methods.

## Use cases
- train rotated object detection models on aerial imagery
- detect oriented bounding boxes in remote sensing images
- benchmark rotated detection methods like RTMDet
- build custom rotated detection models from modular components
- run inference for oriented text or object detection

## When to choose
- you need rotated/oriented bounding box detection with PyTorch
- you want pretrained model zoo baselines for aerial or remote-sensing detection
- you prefer modular OpenMMLab-style configuration for experiments

## When to avoid
- you need standard axis-aligned object detection only (use MMDetection)
- you need a lightweight production inference service rather than a research toolbox
- you require active feature development, as the project is in maintenance mode

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, computer-vision, image-processing
- domain: computer-vision, deep-learning, machine-learning
- platform: python
- tags: rotated-object-detection, pytorch, openmmlab, object-detection, model-zoo, benchmark, gpu, linux

## Member repositories
- open-mmlab/mmrotate (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:21.149039+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 2026-08-30T02:50:12.619847+00:00, confidence not recorded.
  - readme: https://github.com/open-mmlab/mmrotate (fetched 2026-08-28T04:06:21.149039+00:00, sha 2e47e5cc3ba5)
  - registry_pypi: https://pypi.org/pypi/mmrotate/json (fetched 2026-08-29T10:30:25.343436+00:00, sha 5b6574f23eb7)
- Data as of 2026-08-30T08:39:29.467469+00:00.