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--- |
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language: |
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- "en" |
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tags: |
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- tourism |
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- destinations |
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- destinationimage |
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license: "cc-by-nc-sa-4.0" |
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datasets: |
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- destinationphotography |
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metrics: |
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- accuracy |
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--- |
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This visual classification model classifies photos to one of 18 visual attributes which are intended for the measurement of touristic destination image. |
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[This conference paper](https://link.springer.com/chapter/10.1007/978-3-030-94751-4_16) introduces the model. |
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It is fine tuned on touristic destination photography from the [BEiT-L model trained on ImageNet21k](https://huggingface.co/microsoft/beit-large-patch16-224). |
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For validation, we evaluated with a ground truth dataset of 1800 photos (100 per visual attributes) and achieved 95% accuracy. The [ground truth dataset](https://drive.google.com/drive/folders/1Mtrk1mQNZfuo_j7EcviMoVtXw-jxbewG) is publicly available for benchmarking other models against ours. |
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Model weights are made available under the Creative Commons Attribution Non Commercial Share Alike 4.0 license. |
