Overview

YOLO-NAS Pose is a keypoint detection and pose estimation model developed by Deci AI. You can use the YOLO-NAS Pose model to detect the poses of people or objects in an image or video. For example, you can identify the pose of a person as part of an exercise application, or the position of joints on a robotic arm for use in calibrating a robot arm.

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YOLO-NAS Pose on a Beetles Album. Sourced from this Medium Article.

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Performance

Yolo-NAS Pose has state of the art performance, while also having extremely low latency. Compared to other Yolo models, YOLO-NAS Pose outperforms most in low latency situations.

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Use This Model

Label Data Automatically with YOLO-NAS Pose

You can automatically label a dataset using YOLO-NAS Pose 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 YOLO-NAS Pose to train a computer vision model.

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