Mask RCNN vs. YOLOv5

Both Mask RCNN and YOLOv5 are commonly used in computer vision projects. Below, we compare and contrast Mask RCNN and YOLOv5.

Models

Mask RCNN is a convolutional neural network for instance segmentation.

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.

Model Type

Instance Segmentation

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

CNN, YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

24k+

46k+

License

MIT

AGPL-3.0

Paper

Training Notebook

Deploy Model

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.