Product
Solutions
Resources
Pricing
Docs
Talk to SalesSign in
Models
MT-YOLOv6 vs. YOLOv3 PyTorch

Explore Models

By Task
All Models (32)Object Detection Models (19)Classification Models (7)Instance Segmentation Models (3)Semantic Segmentation Models (1)
By Feature
Foundation Vision ModelsMultimodal Vision ModelsImage Embedding ModelsReal Time Vision ModelsZero-Shot Detection ModelsOptimal for Edge Deployment

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 4400 6800

MT-YOLOv6

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

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow 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 AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix
Learn more about MT-YOLOv6
Learn more about YOLOv3 PyTorch

Compare MT-YOLOv6 to other models

MobileNet V2 Classification
MobileNet SSD v2
YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch

Compare YOLOv3 PyTorch to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
MobileNet V2 Classification

Deploy a computer vision model today

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

Get started