Resnet-32 vs. YOLOv4 Tiny

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

Models

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

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset

Model Type

Classification

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

ResNet-D, YOLO

Annotation Format

Instance Segmentation

Framework

Fast.ai v2

Darknet

GitHub

GitHub Stars

32+

License

YOLO

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.