Resnet-32 vs. Scaled-YOLOv4

Both ResNet 32 and Scaled YOLOv4 are commonly used in computer vision projects. Below, we compare and contrast ResNet 32 and Scaled YOLOv4.

Models

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

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

Model Type

Classification

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

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.