Product
Solutions
Resources
Pricing
Docs
Talk to SalesSign in
Models
MobileNet SSD v2 vs. MT-YOLOv6

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

MobileNet SSD v2 vs. MT-YOLOv6

Both

MobileNet SSD v2

and

MT-YOLOv6

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

MobileNet SSD v2

and

MT-YOLOv6

.

  MobileNet SSD v2 MT-YOLOv6
Date of Release Jan 13, 2018 Jun 23, 2022
Model Type Object Detection Object Detection
Architecture CNN, YOLO
GitHub Stars 1900 4400

MobileNet SSD v2

This architecture provides good realtime results on limited compute. It's designed to run in realtime (30 frames per second) even on mobile devices.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

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
Learn more about MobileNet SSD v2
Learn more about MT-YOLOv6

Compare MobileNet SSD v2 to other models

YOLOv3 Keras
YOLOv3 PyTorch
YOLOv4 PyTorch
YOLOv4 Darknet
YOLOv4 Tiny

Compare MT-YOLOv6 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