SegFormer vs. Mask RCNN

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

Models

SegFormer is a computer vision framework used in semantic segmentation tasks, implemented with transformers.

Mask RCNN is a convolutional neural network for instance segmentation.

Model Type

Semantic Segmentation

Instance Segmentation

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformers

Annotation Format

Instance Segmentation

Framework

PyTorch

GitHub

GitHub Stars

2.2k+

24k+

License

NVIDIA Source Code

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.