YOLOv9 vs. Resnet-32

Both YOLOv9 and ResNet 32 are commonly used in computer vision projects. Below, we compare and contrast YOLOv9 and ResNet 32.

Models

YOLOv9 is an object detection model architecture released on February 21st, 2024.

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

YOLO

Frameworks

PyTorch

Fast.ai v2

Annotation Format

Instance Segmentation

GitHub

GitHub Stars

8.5k+

32+

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.