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Speech, vision & media

MMDetection

A modular detection research toolbox with a shared configuration and evaluation framework.

Overview

Research summary

MMDetection provides a configurable toolbox for object detection and related instance-level vision tasks. It assembles reusable components for datasets, model architectures, training and evaluation, supported by a model zoo and documented experiment configurations. Researchers can compare implementations under a shared framework, while developers can adapt an existing detector to a custom dataset.

The modular configuration approach makes model components and experiment settings explicit instead of fixing a single detection architecture. MMDetection is part of OpenMMLab and uses Apache-2.0; datasets and pretrained checkpoints carry their own provenance and conditions.

Repository summary

Stars
32,972
Open issues
Unavailable
Last push
2024-08-21
Commits, 90 days
Unavailable
Repository activity
Not scored
Version
Unavailable

Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services unknown

Whether the provider offers paid products or services has not been established.

Licence scope

Implementation

Recorded implementation details and interfaces for MMDetection.

Implementation details

Python/PyTorch toolbox using OpenMMLab infrastructure

Languages
Python
Repository type
source

Recorded interfaces and capabilities

Licence scope

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

open-mmlab/mmdetection ↗

Stars
32,972
Open issues
Unavailable
Last push
2024-08-21
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06
Stars source
Recorded fallback
Last push source
Recorded fallback

Documentation

Recorded references and research provenance for this entry.

Recorded sources 4

Research metadata

Research date
2026-10-02
Catalogue snapshot
2026-10-06

Community & social 3 channels

Video

Communities

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