YOLOv10 vs. Mask RCNN

Both YOLOv10 and Mask RCNN are commonly used in computer vision projects. Below, we compare and contrast YOLOv10 and Mask RCNN.

Models

YOLOv10 is a real-time object detection model introduced in the paper "YOLOv10: Real-Time End-to-End Object Detection".

Mask RCNN is a convolutional neural network for instance segmentation.

Model Type

Object Detection

Instance Segmentation

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Frameworks

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

7800

24k+

License

GNU Affero General Public

MIT

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.