Product
Solutions
Resources
Pricing
Docs
Talk to SalesSign in
Models
YOLOv7 Instance Segmentation vs. MobileNet SSD v2

YOLOv7 Instance Segmentation vs. MobileNet SSD v2

Both YOLOv7 Instance Segmentation and MobileNet SSD v2 are commonly used in computer vision projects. Below, we compare and contrast YOLOv7 Instance Segmentation and MobileNet SSD v2.

Models

icon-model

YOLOv7 Instance Segmentation

YOLOv7 Instance Segmentation lets you perform segmentation tasks with the YOLOv7 model.
Learn more about YOLOv7 Instance Segmentation
icon-model

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.
Learn more about MobileNet SSD v2
Model Type
Instance Segmentation
--
Object Detection
--
Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
--
--
Frameworks
PyTorch
--
TensorFlow 1.5
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
--
View Repo
--
View Repo
GitHub Stars
12.5k+
--
81+
--
License
GPL-3.0
--
MIT
--
Paper
--
View Paper
--
View Paper
Training Notebook
Train on Colab
--
Train on Colab
--
Deploy Model
--
rocket icon
Deploy with Roboflow
--
rocket icon
Deploy with Roboflow
Compare Alternatives
--
Compare with...
--
Compare with...

Compare YOLOv7 Instance Segmentation and MobileNet SSD v2 with Autodistill

Models
YOLOv7 Instance Segmentation vs. MobileNet SSD v2

YOLOv7 Instance Segmentation vs. MobileNet SSD v2

.

Both

YOLOv7 Instance Segmentation

and

MobileNet SSD v2

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

YOLOv7 Instance Segmentation

and

MobileNet SSD v2
  YOLOv7 Instance Segmentation MobileNet SSD v2
Date of Release Jan 13, 2018
Model Type Instance Segmentation Object Detection
Architecture YOLO
GitHub Stars 12500 81

YOLOv7 Instance Segmentation

YOLOv7 Instance Segmentation lets you perform segmentation tasks with the YOLOv7 model.

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

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
Learn more about YOLOv7 Instance Segmentation
Learn more about MobileNet SSD v2

Compare YOLOv7 Instance Segmentation to other models

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

Compare MobileNet SSD v2 to other models

YOLOv8 Instance Segmentation
YOLOv8
YOLOv7 Instance Segmentation
OneFormer
YOLOv3 Keras

Deploy a computer vision model today

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

Get started