YOLOX vs. Faster R-CNN: Compared and Contrasted

Models

YOLOX

YOLOX is a high-performance object detection model.

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

CNN, YOLO

Frameworks

PyTorch

TensorFlow 1.5

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

8.9k+

7.5k+

License

Apache-2.0

MIT

Paper

View Paper

Training Notebook

Train on Colab

Deploy Model

Deploy with Roboflow

Compare YOLOX 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.

YOLOX vs. Faster R-CNN

Models

YOLOX

Faster R-CNN

Compare YOLOX and Faster R-CNN with Autodistill

Compare YOLOX vs. Faster R-CNN