Try the Model

Use the widget below to experiment with YOLOv5 Oriented Bounding Boxes. You can detect COCO classes such as people, vehicles, animals, household items.

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.

YOLOv5-OBB with American Sign Language

YOLOv5 Oriented Bounding Boxes License

YOLOv5 Oriented Bounding Boxes

is licensed under a

GPL-3.0

license.

Performance

Deploy a YOLOv5 Oriented Bounding Boxes API

You can use Roboflow Inference to deploy a

YOLOv5 Oriented Bounding Boxes

API on your hardware. You can deploy the model on CPU (i.e. Raspberry Pi, AI PCs) and GPU devices (i.e. NVIDIA Jetson, NVIDIA T4).

Below are instructions on how to deploy your own model API.

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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