YOLOv4 Tiny vs. Resnet-32: Compared and Contrasted

Models

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

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

ResNet-D, YOLO

Frameworks

Darknet

Fast.ai v2

Annotation Format

Instance Segmentation

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.