Models
YOLOv7 Instance Segmentation vs. EfficientNet

YOLOv7 Instance Segmentation vs. EfficientNet

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

Models

icon-model

YOLOv7 Instance Segmentation

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

EfficientNet

EfficientNet is from a family of image classification models from GoogleAI that train comparatively quickly on small amounts of data, making the most of limited datasets.
Model Type
Instance Segmentation
--
Classification
--
Model Features
Item 1 Info
Item 2 Info
Architecture
YOLO
--
CNN
--
Frameworks
PyTorch
--
Keras
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
12.5k+
--
--
License
GPL-3.0
--
--
Training Notebook

Compare YOLOv7 Instance Segmentation and EfficientNet with Autodistill

Compare YOLOv7 Instance Segmentation vs. EfficientNet

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.