OBBDetection

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OBBDetection is an open-source oriented object detection library based on MMdetection v2.2. It provides a toolbox for implementing and testing various oriented object detection methods, supporting multiple frameworks and flexible box representations.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is OBBDetection?

OBBDetection is an open-source oriented object detection library built upon MMdetection v2.2, designed for researchers and developers working with object detection tasks. It inherits all features from MMdetection, ensuring a robust and familiar environment. The library supports multiple frameworks and implements various oriented object detectors like RoI Transformer and Gliding Vertex. A key feature is its flexible representation of oriented boxes, accommodating Horizontal Bounding Boxes (HBB), Oriented Bounding Boxes (OBB), and 4-point boxes (POLY). It leverages BboxToolkit for oriented bounding box operations and includes a model zoo with benchmarks for supported methods and backbones. The project is released under the Apache 2.0 license.

Best used for

Ideal for researchers and developers who need to implement and benchmark oriented object detection models, integrate advanced detection capabilities into projects, and experiment with different detection methods. Especially valuable for those working with computer vision tasks requiring precise object localization and orientation.

Common actions

implement object detection

benchmark detection models

develop computer vision models

integrate object detection

automated workflowdeepfakecollaborationlow-code/no-codeworkflowsopen-sourcegithub copilot"AI Agents"face swapping

Capabilities

Key features

Oriented object detection
MMdetection feature inheritance
Multiple framework support
Flexible box representation
BboxToolkit integration
Model zoo with benchmarks

Target Audience

professordeveloperresearcher

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What types of bounding box representations does OBBDetection support?

OBBDetection offers flexible support for various bounding box representations. It can handle Horizontal Bounding Boxes (HBB), Oriented Bounding Boxes (OBB), and 4-point boxes (POLY). The program automatically confirms the bounding box type based on tensor shape or default settings.

Which oriented detection methods are implemented in OBBDetection?

OBBDetection implements several oriented detection methods, including S2ANet, Oriented R-CNN, Poly IoU Loss, Faster R-CNN OBB, Double Head OBB, RetinaNet OBB, Gliding Vertex, RoI Transformer, and FCOS OBB. This allows for diverse experimentation and application.

Is OBBDetection compatible with MMdetection's existing features?

Yes, OBBDetection is built on MMdetection v2.2 and is designed to inherit all its features. It doesn't alter the original MMdetection structure, ensuring that additive codes align with MMdetection's logic. This provides a seamless experience for users familiar with MMdetection.

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