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README.md
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- **Model type:** Image classification /feature backbone
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- **Finetuned from model:** https://pytorch.org/vision/main/models/generated/torchvision.models.resnet152.html
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This fine-tuned version of the model is an output of the MapReader pipeline.
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## How to Get Started with the Model in MapReader
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- **Model type:** Image classification /feature backbone
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- **Finetuned from model:** https://pytorch.org/vision/main/models/generated/torchvision.models.resnet152.html
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### Classes and labels
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- 0: no
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- 1: railspace
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- 2: building
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- 3: railspace & building
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## Uses
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This fine-tuned version of the model is an output of the MapReader pipeline.
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It was used to classify 'patch' images (cells/regions) of scanned nineteenth-century series maps of Britain provided by the National Library of Scotland (learn more [here](https://maps.nls.uk/os/)).
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We classified patches to indicate the presence of buildings and railway infrastructure.
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See [our paper](https://dl.acm.org/doi/10.1145/3557919.3565812) for more details about labels.
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## How to Get Started with the Model in MapReader
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