Models
Florence-2 vs. YOLOv5

Florence-2 vs. YOLOv5

Both Florence 2 and YOLOv5 are commonly used in computer vision projects. Below, we compare and contrast Florence 2 and YOLOv5.

Models

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Florence 2

Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.
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YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.
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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CNN, YOLO
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Frameworks
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PyTorch
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Annotation Format
Instance Segmentation
Instance Segmentation
GitHub Stars
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46k+
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License
MIT
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AGPL-3.0
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Training Notebook

Compare Florence 2 and YOLOv5 with Autodistill

Compare Florence-2 vs. YOLOv5

Provide your own image below to test YOLOv8 and YOLOv9 model checkpoints trained on the Microsoft COCO dataset.

COCO can detect 80 common objects, including cats, cell phones, and cars.