YOLOv9 vs. Faster R-CNN: Compared and Contrasted

Models

YOLOv9

YOLOv9 is an object detection model architecture released on February 21st, 2024.

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

YOLO

Frameworks

PyTorch

TensorFlow 1.5

Annotation Format

Instance Segmentation

GitHub

View Repo

GitHub Stars

8.5k+

7.5k+

License

GPL-3.0

MIT

Paper

Training Notebook

Deploy Model

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YOLOv9 vs. Faster R-CNN

Both

YOLOv9

and

Faster R-CNN

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

YOLOv9

and

Faster R-CNN

	YOLOv9	Faster R-CNN
Date of Release	Feb 21, 2024
Model Type	Object Detection	Object Detection
Architecture	YOLO
GitHub Stars	7000	7500

YOLOv9

YOLOv9 is an object detection model architecture released on February 21st, 2024.

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

https://blog.roboflow.com/yolov9-deep-dive/

Learn more about Faster R-CNN