OneFormer vs. Faster R-CNN

Both OneFormer and Faster R-CNN are commonly used in computer vision projects. Below, we compare and contrast OneFormer and Faster R-CNN.

Models

OneFormer

OneFormer is a state-of-the-art multi-task image segmentation framework that is implemented using transformers.

Learn more about OneFormer

Faster R-CNN

One of the most accurate object detection algorithms but requires a lot of power at inference time. A good choice if you can do processing asynchronously on a server.

Learn more about Faster R-CNN

Model Type

Instance Segmentation

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformers

Frameworks

PyTorch

TensorFlow 1.5

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

1.3k+

7.5k+

License

MIT

Paper

View Paper

Training Notebook

Train on Colab

Deploy Model

Deploy with Roboflow

Compare OneFormer vs. Faster R-CNN

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.

OneFormer vs. Faster R-CNN

Models

OneFormer

Faster R-CNN

Compare OneFormer and Faster R-CNN with Autodistill

Compare OneFormer vs. Faster R-CNN