Mmdetection3d

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MMDetection3D is an OpenMMLab platform for general 3D object detection, supporting multi-modality and single-modality detectors. It integrates with 2D detection models and offers high efficiency for training.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is mmdetection3d?

MMDetection3D is an open-source object detection toolbox built on PyTorch, designed as OpenMMLab's next-generation platform for general 3D detection. It supports a wide range of multi-modality and single-modality detectors, including MVXNet, VoteNet, and PointPillars. The platform handles popular indoor and outdoor 3D detection datasets like ScanNet, SUNRGB-D, Waymo, nuScenes, Lyft, and KITTI. A key feature is its natural integration with MMDetection, allowing users to leverage over 300 models and methods from 40+ papers in 2D detection. MMDetection3D is known for its high efficiency, offering faster training compared to other codebases, making it a robust library for various 3D detection projects.

Best used for

Ideal for developers and data scientists who need to implement and train state-of-the-art 3D object detection models, process complex point cloud data, and develop advanced perception systems. Especially valuable for research and development in autonomous driving, robotics, and scene understanding applications.

Common actions

detect 3D objects

train 3D models

process point clouds

develop perception systems

deepfakecollaborationautomated workflowworkflowslow-code/no-codegithub copilotface swapping"AI Agents"open-source

Capabilities

Key features

Multi-modality detector support
Single-modality detector support
Indoor 3D detection
Outdoor 3D detection
Integrates 2D detection models
High training efficiency
Supports various datasets

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of 3D object detection does MMDetection3D support?

MMDetection3D supports both multi-modality and single-modality detectors, including models like MVXNet, VoteNet, and PointPillars. It is designed for general 3D object detection across various environments, including indoor and outdoor scenes.

Which datasets are compatible with MMDetection3D?

The platform directly supports popular indoor and outdoor 3D detection datasets such as ScanNet, SUNRGB-D, Waymo, nuScenes, Lyft, and KITTI. It also includes support for the nuImages dataset for nuScenes.

How does MMDetection3D integrate with 2D detection models?

MMDetection3D offers natural integration with MMDetection, allowing users to train or utilize over 300 models and methods from more than 40 papers in 2D detection within the same codebase, enhancing its versatility.

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