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Florence-2 is a new vision foundation model capable of a wide variety of tasks 🤯 
Florence-2 is a new vision foundation model capable of a wide variety of tasks 🤯 
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Demo 👉🏻 
Demo 👉🏻 
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https://huggingface.co/spaces/gokaygokay/Florence-2
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gokaygokay/Florence-2
https://huggingface.co/spaces/gokaygokay/Florence-2
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Collection 👉🏻 
Collection 👉🏻 
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https://huggingface.co/collections/microsoft/florence-6669f44df0d87d9c3bfb76de
collection
microsoft/florence-6669f44df0d87d9c3bfb76de
https://huggingface.co/collections/microsoft/florence-6669f44df0d87d9c3bfb76de
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This model can handle tasks that vary from OCR to semantic segmentation. 
This model can handle tasks that vary from OCR to semantic segmentation. 
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The difference from previous models is that the authors have compiled a dataset consisting of 126M images with 5.4B annotations labelled with their own data engine pseudolabelled by smaller specialized models and APIs. 
The difference from previous models is that the authors have compiled a dataset consisting of 126M images with 5.4B annotations labelled with their own data engine pseudolabelled by smaller specialized models and APIs. 
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The model has a similar architecture to previous models: an image encoder and a multimodality encoder with a text decoder. The authors have compiled the multitask dataset with prompts for each task. 
The model has a similar architecture to previous models: an image encoder and a multimodality encoder with a text decoder. The authors have compiled the multitask dataset with prompts for each task. 
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You can also fine-tune this model on any task of choice. The authors also released different results on downstream tasks and reported their results when un/freezing the vision encoder 🤓📉 
You can also fine-tune this model on any task of choice. The authors also released different results on downstream tasks and reported their results when un/freezing the vision encoder 🤓📉 
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They have released fine-tuned models too, you can find them in the collection above 🤗 
They have released fine-tuned models too, you can find them in the collection above 🤗 
Florence-2 is a new vision foundation model capable of a wide variety of tasks 🤯 
Demo 👉🏻 https://huggingface.co/spaces/gokaygokay/Florence-2
Collection 👉🏻 https://huggingface.co/collections/microsoft/florence-6669f44df0d87d9c3bfb76de

This model can handle tasks that vary from OCR to semantic segmentation. 

The difference from previous models is that the authors have compiled a dataset consisting of 126M images with 5.4B annotations labelled with their own data engine pseudolabelled by smaller specialized models and APIs. 

The model has a similar architecture to previous models: an image encoder and a multimodality encoder with a text decoder. The authors have compiled the multitask dataset with prompts for each task. 

You can also fine-tune this model on any task of choice. The authors also released different results on downstream tasks and reported their results when un/freezing the vision encoder 🤓📉 
They have released fine-tuned models too, you can find them in the collection above 🤗 
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