Models
YOLOv5 vs. YOLOR

YOLOv5 vs. YOLOR

Both YOLOv5 and YOLOR are commonly used in computer vision projects. Below, we compare and contrast YOLOv5 and YOLOR.

Models

icon-model

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.
icon-model

YOLOR

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
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
CNN, YOLO
--
CNN, YOLO
--
Frameworks
PyTorch
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
46k+
--
2k+
--
License
AGPL-3.0
--
GPL-3.0
--
Training Notebook

Compare YOLOv5 and YOLOR with Autodistill

Compare YOLOv5 vs. YOLOR

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.