Models
YOLO26 vs. YOLOv5

YOLO26 vs. YOLOv5

Both YOLO26 and YOLOv5 are commonly used in computer vision projects. Below, we compare and contrast YOLO26 and YOLOv5.

Models

icon-model

YOLO26

YOLO26 is a real-time, NMS-free YOLO model optimized for edge deployment, supporting multiple vision tasks across scalable model sizes.
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.
Model Type
Object Detection
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
--
CNN, YOLO
--
Annotation Format
Instance Segmentation
Instance Segmentation
Framework
--
--
PyTorch
GitHub Stars
--
46k+
--
License
AGPL-3.0
--
AGPL-3.0
--
Training Notebook

Compare YOLO26 and YOLOv5 with Autodistill

Compare YOLO26 vs. YOLOv5

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.