Florence-2 vs. Scaled-YOLOv4

Both Florence 2 and Scaled YOLOv4 are commonly used in computer vision projects. Below, we compare and contrast Florence 2 and Scaled YOLOv4.

Models

Florence 2

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

Learn more about Florence 2

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

Learn more about Scaled YOLOv4

Model Type

Object Detection

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Object Detection

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Model Features

Item 1 Info

Item 2 Info

Architecture

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YOLO

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Frameworks

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PyTorch

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Annotation Format

Instance Segmentation

Instance Segmentation

GitHub

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GitHub Stars

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2k+

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License

MIT

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GPL-3.0

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Paper

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Training Notebook

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Deploy Model

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Deploy with Roboflow

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Deploy with Roboflow

Compare Florence 2 and Scaled YOLOv4 with Autodistill

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Florence-2 vs. Scaled-YOLOv4

Florence-2 vs. Scaled-YOLOv4

.

Both

Florence 2

and

Scaled YOLOv4

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

Florence 2

and

Scaled YOLOv4

	Florence 2	Scaled YOLOv4
Date of Release	Jun 19, 2024
Model Type	Object Detection	Object Detection
Architecture		YOLO
GitHub Stars		2000

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

Scaled YOLOv4

Scaled YOLOv4 is an extension of the YOLOv4 research implemented in the YOLOv5 PyTorch framework.

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 Scaled YOLOv4

Compare Florence 2 to other models

Compare Scaled YOLOv4 to other models

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