Resnet-32 vs. YOLOR: Compared and Contrasted

Models

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

YOLOR (You Only Learn One Representation) is an object detection model that uses both implicit and explicit knowledge to make predictions.

Model Type

Classification

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

CNN, YOLO

Frameworks

Fast.ai v2

PyTorch

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

32+

2k+

License

GPL-3.0

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.