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

Segment Anything 2

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

Learn more about Segment Anything 2

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

Model Features

Item 1 Info

Item 2 Info

Architecture

Segment Anything

CNN, YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

3300

46k+

License

Apache 2.0

AGPL-3.0

Paper

View Paper

Training Notebook

Train on Colab

Deploy Model

Deploy with Roboflow

Compare Alternatives

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.

Segment Anything 2 vs. YOLOv5 Instance Segmentation

Models