YOLOv4 vs. Resnet-32: Compared and Contrasted

Models

YOLOv4 Darknet

YOLOv4 has emerged as the best real time object detection model. YOLOv4 carries forward many of the research contributions of the YOLO family of models along with new modeling and data augmentation techniques. This implementation is in Darknet.

Learn more about YOLOv4 Darknet

ResNet 32

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

Learn more about ResNet 32

Model Type

Object Detection

Classification

Model Features

Item 1 Info

Item 2 Info

Architecture

YOLO

Annotation Format

Instance Segmentation

Framework

Darknet

Fast.ai v2

GitHub

View Repo

GitHub Stars

32+

License

YOLO

Paper

View Paper

Training Notebook

Train on Colab

Deploy Model

Deploy with Roboflow

Compare YOLOv4 vs. Resnet-32

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.

YOLOv4 vs. Resnet-32

Models

YOLOv4 Darknet

ResNet 32

Compare YOLOv4 Darknet and ResNet 32 with Autodistill

Compare YOLOv4 vs. Resnet-32