Detectron2 vs. Faster R-CNN

Both Detectron2 and Faster R-CNN are commonly used in computer vision projects. Below, we compare and contrast Detectron2 and Faster R-CNN.

Models

Detectron2

Detectron2 is model zoo of it's own for computer vision models written in PyTorch.

Learn more about Detectron2

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

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

Frameworks

PyTorch

TensorFlow 1.5

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

28.4k+

7.5k+

License

Apache-2.0

MIT

Paper

View Paper

Training Notebook

Train on Colab

Deploy Model

Deploy with Roboflow

Compare Detectron2 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.

Detectron2 vs. Faster R-CNN

Models

Detectron2

Faster R-CNN

Compare Detectron2 and Faster R-CNN with Autodistill

Compare Detectron2 vs. Faster R-CNN