YOLOv7 Instance Segmentation vs. MobileNet V2 Classification: Compared and Contrasted

Models

YOLOv7 Instance Segmentation

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

Learn more about YOLOv7 Instance Segmentation

MobileNet V2 Classification

MobileNet is a GoogleAI model well-suited for on-device, real-time classification (distinct from MobileNetSSD, Single Shot Detector). This implementation leverages transfer learning from ImageNet to your dataset.

Learn more about MobileNet V2 Classification

Model Type

Instance Segmentation

Classification

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

12.5k+

License

GPL-3.0

Paper

Training Notebook

Deploy Model



YOLOv7 Instance Segmentation vs. MobileNet V2 Classification

Both

YOLOv7 Instance Segmentation

and

MobileNet V2 Classification

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

YOLOv7 Instance Segmentation

and

MobileNet V2 Classification

	YOLOv7 Instance Segmentation	MobileNet V2 Classification
Date of Release
Model Type	Instance Segmentation	Classification
Architecture	YOLO
GitHub Stars	12500