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## Model Summary
**CityPulse-DINOv2** is an urban structural change detection model finetuned based the parameters of a Siamese DINOv2 (ViT-B/14) model. This model has been fine-tuned on the [CityPulse (Huang et al. 2024)](https://arxiv.org/abs/2401.01107) dataset. It achieves an accuracy of 88.85% in the urban building change detection task, which makes it suitable for fine-grained assessment of urban changes. The intention behind releasing this model is to provide the research community with more comprehensive and extensive resources, facilitate broader downstream research on urbans, and advance sustainable development goals.

README.md

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 license: mit
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+- accuracy
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+- precision
+- recall
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