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README.md
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license: mit
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library_name: transformers
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widget:
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- src: >-
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https://fema-cap-imagery.s3.amazonaws.com/Images/CAP_-_Flooding_Spring_2023/Source/IAWG_23-B-5061/A0005/D75_0793_DxO_PL6_P.jpg
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- example_title: Example classification of flooded scene
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pipeline_tag: image-classification
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tags:
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- LADI
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- Aerial Imagery
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- Emergency Management
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datasets:
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- MITLL/LADI-v2-dataset
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---
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# Model Card for MITLL/LADI-v2-classifier-large
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LADI-v2-classifier-large is based on [microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft) and fine-tuned on the [MITLL/LADI-v2-dataset](https://huggingface.co/datasets/MITLL/LADI-v2-dataset). LADI-v2-classifier is trained to identify labels of interest to disaster response managers from aerial images.
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---
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license: mit
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library_name: transformers
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tags:
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- LADI
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- Aerial Imagery
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- Emergency Management
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datasets:
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- MITLL/LADI-v2-dataset
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widget:
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- src: https://fema-cap-imagery.s3.amazonaws.com/Images/CAP_-_Flooding_Spring_2023/Source/IAWG_23-B-5061/A0005/D75_0793_DxO_PL6_P.jpg
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- example_title: Example classification of flooded scene
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pipeline_tag: image-classification
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---
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# Model Card for MITLL/LADI-v2-classifier-large
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LADI-v2-classifier-large is based on [microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft](https://huggingface.co/microsoft/swinv2-large-patch4-window12to16-192to256-22kto1k-ft) and fine-tuned on the [MITLL/LADI-v2-dataset](https://huggingface.co/datasets/MITLL/LADI-v2-dataset). LADI-v2-classifier is trained to identify labels of interest to disaster response managers from aerial images.
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