Models
Florence 2 Object Detection vs. PaliGemma

Florence 2 Object Detection vs. PaliGemma

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

Models

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Florence 2 Object Detection

Florence-2 is a lightweight vision-language model open-sourced by Microsoft under the MIT license.
Learn more about Florence 2 Object Detection
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PaliGemma

PaliGemma is a vision language model (VLM) by Google that has multimodal capabilities.
Learn more about PaliGemma
Model Type
Object Detection
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Multimodal Model
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Model Features
Item 1 Info
Item 2 Info
Architecture
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Annotation Format
Instance Segmentation
Instance Segmentation
Framework
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PyTorch
GitHub
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View Repo
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View Repo
GitHub Stars
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2.0k+
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License
MIT
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Custom Google
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Paper
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View Paper
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View Paper
Training Notebook
Train on Colab
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Train on Colab
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Deploy Model
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Deploy with Roboflow
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Deploy with Roboflow
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Compare Florence 2 Object Detection and PaliGemma with Autodistill

Compare Florence 2 Object Detection vs. PaliGemma

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.