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

Models

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

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

Annotation Format

Instance Segmentation

Framework

TensorFlow 1.5

Fast.ai v2

GitHub

View Repo

GitHub Stars

7.5k+

32+

License

MIT

Paper

View Paper

Training Notebook

Train on Colab

Deploy Model

Deploy with Roboflow

Compare Faster R-CNN 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.

Faster R-CNN vs. Resnet-32

Models

Faster R-CNN

ResNet 32

Compare Faster R-CNN and ResNet 32 with Autodistill

Compare Faster R-CNN vs. Resnet-32