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

Models

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
  Florence 2 YOLOv5
Date of Release Jun 19, 2024 Jan 06, 2020
Model Type Object Detection Object Detection
Architecture CNN, YOLO
GitHub Stars 33200

Florence 2

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

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

YOLOv5

A very fast and easy to use PyTorch model that achieves state of the art (or near state of the art) results.

How to AugmentHow to LabelHow to Plot PredictionsHow to Filter PredictionsHow to Create a Confusion Matrix

Compare Florence 2 to other models

Compare YOLOv5 to other models

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