Florence-2 vs. Faster R-CNN: Compared and Contrasted

Models

Florence 2

Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.

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

Models



Florence-2 vs. Faster R-CNN

Both

Florence 2

and

Faster R-CNN

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

Florence 2

and

Faster R-CNN

	Florence 2	Faster R-CNN
Date of Release	Jun 19, 2024
Model Type	Object Detection	Object Detection
Architecture
GitHub Stars		7500

Florence 2

Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.

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/florence-2/

Learn more about Faster R-CNN