Models
Segment Anything 2 vs. YOLOv5 Instance Segmentation

Segment Anything 2 vs. YOLOv5 Instance Segmentation

Both Segment Anything 2 and YOLOv5 Instance Segmentation are commonly used in computer vision projects. Below, we compare and contrast Segment Anything 2 and YOLOv5 Instance Segmentation.

Models

icon-model

Segment Anything 2

Segment Anything 2 (SAM 2) is a real-time image and video segmentation model.
Learn more about Segment Anything 2
icon-model

YOLOv5 Instance Segmentation

YOLOv5 Instance Segmentation is a version of YOLOv5 that can be used for instance segmentation tasks.
Learn more about YOLOv5 Instance Segmentation
Model Type
Instance Segmentation
--
Instance Segmentation
--
Model Features
Item 1 Info
Item 2 Info
Architecture
Segment Anything
--
CNN, YOLO
--
Frameworks
--
PyTorch
--
Annotation Format
Instance Segmentation
Instance Segmentation
GitHub
--
View Repo
--
View Repo
GitHub Stars
3300
--
46k+
--
License
Apache 2.0
--
AGPL-3.0
--
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 Segment Anything 2 and YOLOv5 Instance Segmentation with Autodistill

Compare Segment Anything 2 vs. YOLOv5 Instance Segmentation

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.