YOLOv10 vs. YOLOR: Compared and Contrasted

Models

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

CNN, YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

7800

2k+

License

GNU Affero General Public

GPL-3.0

Paper

Training Notebook

Deploy Model