Florence-2 is a new vision foundation model capable of a wide variety of tasks 🤯 
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Florence-2 is a new vision foundation model capable of a wide variety of tasks 🤯 
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Demo 👉🏻 
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Demo 👉🏻 
https://huggingface.co/spaces/gokaygokay/Florence-2
gokaygokay/Florence-2
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https://huggingface.co/spaces/gokaygokay/Florence-2
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Collection 👉🏻 
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Collection 👉🏻 
https://huggingface.co/collections/microsoft/florence-6669f44df0d87d9c3bfb76de
microsoft/florence-6669f44df0d87d9c3bfb76de
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https://huggingface.co/collections/microsoft/florence-6669f44df0d87d9c3bfb76de
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This model can handle tasks that vary from OCR to semantic segmentation. 
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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. 
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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. 
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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. 
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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. 
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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 🤓📉 
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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 🤓📉 
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They have released fine-tuned models too, you can find them in the collection above 🤗 
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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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