Models
Florence-2 vs. OneFormer

Florence-2 vs. OneFormer

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

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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OneFormer

OneFormer is a state-of-the-art multi-task image segmentation framework that is implemented using transformers.
Model Type
Object Detection
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Instance Segmentation
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Model Features
Item 1 Info
Item 2 Info
Architecture
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Transformers
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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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1.3k+
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License
MIT
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MIT
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Training Notebook

Compare Florence 2 and OneFormer with Autodistill

Compare Florence-2 vs. OneFormer

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.