Models
Florence-2 vs. YOLOS

Florence-2 vs. YOLOS

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

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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YOLOS

YOLOS looks at patches of an image to to form "patch tokens", which are used in place of the traditional wordpiece tokens in NLP.
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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Transformer, 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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812+
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License
MIT
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MIT
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Training Notebook

Compare Florence 2 and YOLOS with Autodistill

Compare Florence-2 vs. YOLOS

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.