RF-DETR vs. Resnet-32

Both RF-DETR and ResNet 32 are commonly used in computer vision projects. Below, we compare and contrast RF-DETR and ResNet 32.

Models

RF-DETR is a SOTA, real-time object detection model architecture developed by Roboflow and released under the Apache 2.0 license.

A fast, simple convolutional neural network that gets the job done for many tasks, including classification.

Model Type

Object Detection

Classification

Model Features

Item 1 Info

Item 2 Info

Architecture

Transformers

Frameworks

Fast.ai v2

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

32+

License

Apache 2.0

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.