MT-YOLOv6 vs. YOLOv3 PyTorch: Compared and Contrasted

Models

MT-YOLOv6

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

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

Learn more about YOLOv3 PyTorch

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

CNN, YOLO

YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

5.5k+

7.2k+

License

GPL-3.0

Paper

Training Notebook

Deploy Model



MT-YOLOv6 vs. YOLOv3 PyTorch

Both

MT-YOLOv6

and

YOLOv3 PyTorch

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

MT-YOLOv6

and

YOLOv3 PyTorch

	MT-YOLOv6	YOLOv3 PyTorch
Date of Release	Jun 23, 2022	Apr 08, 2018
Model Type	Object Detection	Object Detection
Architecture	CNN, YOLO	YOLO
GitHub Stars	5500	7200

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

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

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 YOLOv3 PyTorch