Resnet-32 vs. YOLOv3 PyTorch: Compared and Contrasted

Models

ResNet 32

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

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

Learn more about YOLOv3 PyTorch

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

View Repo

GitHub Stars

32+

7.2k+

License

GPL-3.0

Paper

Training Notebook

Deploy Model

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Resnet-32 vs. YOLOv3 PyTorch

Both

ResNet 32

and

YOLOv3 PyTorch

are commonly used in computer vision projects. Below, we compare and contrast

ResNet 32

and

YOLOv3 PyTorch

	ResNet 32	YOLOv3 PyTorch
Date of Release		Apr 08, 2018
Model Type	Classification	Object Detection
Architecture		YOLO
GitHub Stars	35	7200

ResNet 32

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

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

YOLOv3 PyTorch

Though it is no longer the most accurate object detection algorithm, YOLO v3 is still a very good choice when you need real-time detection while maintaining excellent accuracy. PyTorch version.

How to Augment How to Label How to Plot Predictions How to Filter Predictions How to Create a Confusion Matrix

Learn more about ResNet 32

Learn more about YOLOv3 PyTorch