YOLOv4 Tiny vs. Faster R-CNN: Compared and Contrasted

Models

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

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

Object Detection

Model Features

Item 1 Info

Item 2 Info

Architecture

ResNet-D, YOLO

Frameworks

Darknet

TensorFlow 1.5

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

7.5k+

License

YOLO

MIT

Paper

Training Notebook

Deploy Model



YOLOv4 Tiny vs. Faster R-CNN

Both

YOLOv4 Tiny

and

Faster R-CNN

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

YOLOv4 Tiny

and

Faster R-CNN

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

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

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 YOLOv4 Tiny

Learn more about Faster R-CNN