ModelsObject Detection
YOLOv5 Oriented Bounding Boxes
Object Detection
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YOLOv5 Oriented Bounding Boxes

YOLOv5-OBB is a variant of YOLOv5 that supports oriented bounding boxes. This model is designed to yield predictions that better fit objects that are positioned at an angle.
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GitHubGitHub
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1.7k+
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GPL-3.0
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Released
Mar 12, 2020
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Arxiv logo markPaper

Overview

What is YOLOv5-OBB?

Oriented bounding boxes are bounding boxes rotated to better fit the objects represented on an angle. Take a pill detection dataset for example. Using YOLOv5-OBB we are able to detect pills that are rotated on a given frame or image more tightly and accurately, preventing capture of multiple pills or other objects in one bounding box.

What is YOLOv5-OBB?

YOLOv5-OBB with American Sign Language

YOLOv5-OBB with American Sign Language

Further Reading

Getting Started: https://github.com/hukaixuan19970627/yolov5_obb/blob/master/docs/GetStart.md
YOLOv5-OBB Paper: https://arxiv.org/abs/2003.05597v2
Code for ECCV 2020 paper: Arbitrary-Oriented Object Detection with Circular Smooth Label: https://github.com/Thinklab-SJTU/CSL_RetinaNet_Tensorflow

Performance

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Label Data Automatically with YOLOv5 Oriented Bounding Boxes

You can automatically label a dataset using YOLOv5 Oriented Bounding Boxes with help from Autodistill, an open source package for training computer vision models. You can label a folder of images automatically with only a few lines of code. Below, see our tutorials that demonstrate how to use YOLOv5 Oriented Bounding Boxes to train a computer vision model.
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Data

Augmentation GuideLabeling Guide
Flask

Training

Model OverviewTrain on ColabTrain on JupyterTrain on KaggleTrain on SageMaker
Screwdriver and Wrench

Utilities

Plot PredictionsFilter PredictionsBlur PredictionsCreate A Confusion MatrixUse SAHI for Small Object Detection
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Convert Annotation Format

YOLOv8 uses the uses the YOLOv8 PyTorch TXT annotation format. If your annotation is in a different format, you can use Roboflow's annotation conversion tools to get your data into the right format.
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Architecture

CNN, YOLO

Frameworks

PyTorch

Annotation Format

YOLOv5 Oriented Bounding Boxes

Popular YOLOv5 Oriented Bounding Boxes Use Cases

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