Resnet-32 vs. Faster R-CNN: Compared and Contrasted

Models

ResNet 32

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

Faster R-CNN

One of the most accurate object detection algorithms but requires a lot of power at inference time. A good choice if you can do processing asynchronously on a server.

Learn more about Faster R-CNN

Model Type

Classification

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

Frameworks

Fast.ai v2

TensorFlow 1.5

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

32+

7.5k+

License

MIT

Paper

Training Notebook

Deploy Model

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Resnet-32 vs. Faster R-CNN

Both

ResNet 32

and

Faster R-CNN

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

ResNet 32

and

Faster R-CNN

	ResNet 32	Faster R-CNN
Date of Release
Model Type	Classification	Object Detection
Architecture
GitHub Stars	35	7500

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

Faster R-CNN

One of the most accurate object detection algorithms but requires a lot of power at inference time. A good choice if you can do processing asynchronously on a server.

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 Faster R-CNN