MT-YOLOv6 vs. YOLOv5

Both MT-YOLOv6 and YOLOv5 are commonly used in computer vision projects. Below, we compare and contrast MT-YOLOv6 and YOLOv5.

Models

MT-YOLOv6

MT-YOLOv6 is a YOLO based model released in 2022.

Learn more about MT-YOLOv6

YOLOv5

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

Learn more about YOLOv5

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

--

--

GitHub Stars

5.5k+

--

46k+

--

License

GPL-3.0

--

AGPL-3.0

--

Paper

--

--

Training Notebook

--

--

Deploy Model

--

Deploy with Roboflow

--

Deploy with Roboflow

Compare MT-YOLOv6 and YOLOv5 with Autodistill



MT-YOLOv6 vs. YOLOv5

MT-YOLOv6 vs. YOLOv5

.

Both

MT-YOLOv6

and

YOLOv5

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

MT-YOLOv6

and

YOLOv5

	MT-YOLOv6	YOLOv5
Date of Release	Jun 23, 2022	Jan 06, 2020
Model Type	Object Detection	Object Detection
Architecture	CNN, YOLO	CNN, YOLO
GitHub Stars	5500	33200

MT-YOLOv6

MT-YOLOv6 is a YOLO based model released in 2022.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

YOLOv5

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

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

Learn more about MT-YOLOv6

Learn more about YOLOv5

Compare MT-YOLOv6 to other models

MobileNet V2 Classification

MobileNet SSD v2

Compare YOLOv5 to other models

YOLOv8 Instance Segmentation

YOLOv7 Instance Segmentation

Deploy a computer vision model today

Join 250,000 developers curating high quality datasets and deploying better models with Roboflow.