Faster R-CNN vs. YOLOv4 Tiny: 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

YOLOv4 Tiny

The tiny and fast version of YOLOv4 - good for training and deployment on limited compute resources, and getting a feel for your dataset

Learn more about YOLOv4 Tiny

Model Type

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

ResNet-D, YOLO

Frameworks

TensorFlow 1.5

Darknet

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

7.5k+

License

MIT

YOLO

Paper

Training Notebook

Deploy Model

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Faster R-CNN vs. YOLOv4 Tiny

Both

Faster R-CNN

and

YOLOv4 Tiny

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

Faster R-CNN

and

YOLOv4 Tiny

	Faster R-CNN	YOLOv4 Tiny
Date of Release		Nov 09, 2020
Model Type	Object Detection	Object Detection
Architecture		ResNet-D, YOLO
GitHub Stars	7500

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