MT-YOLOv6 vs. Faster R-CNN

Both

MT-YOLOv6

and

Faster R-CNN

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

MT-YOLOv6

and

Faster R-CNN

	MT-YOLOv6	Faster R-CNN
Date of Release	Jun 23, 2022
Model Type	Object Detection	Object Detection
Architecture	CNN, YOLO
GitHub Stars	5500	7500

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

Faster R-CNN

One of the most accurate object detection algorithms but requires a lot of power at inference time. A good choice if you can do processing asynchronously on a server.

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 Faster R-CNN

Compare MT-YOLOv6 to other models

MobileNet V2 Classification

Compare Faster R-CNN to other models

YOLO-World

YOLOv8 Instance Segmentation

YOLOv8

YOLOv7 Instance Segmentation

OneFormer

Deploy a computer vision model today

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

Get started

MT-YOLOv6 vs. Faster R-CNN

Models

MT-YOLOv6

Faster R-CNN

Compare MT-YOLOv6 and Faster R-CNN with Autodistill

Explore Models

By Task

By Feature

MT-YOLOv6 vs. Faster R-CNN

MT-YOLOv6

Faster R-CNN

Compare MT-YOLOv6 to other models

Compare Faster R-CNN to other models

Deploy a computer vision model today