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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01EVER-Z /torchange_xView2image1K<n<10K0 likes515 downloads2y agoHugging Face02EVER-Z /torchange_s2lookingimage1K<n<10K0 likes370 downloads2y agoHugging Face03EVER-Z /torchange_secondimage1K<n<10K0 likes199 downloads2y agoHugging Face04EVER-Z /torchange_dsifn-cdimage1K<n<10K0 likes119 downloads1y agoHugging Face05EVER-Z /torchange_levircdimagen<1K0 likes87 downloads2y agoHugging Face06EVER-Z /torchange_hicnaimage1K<n<10K0 likes36 downloads2y agoHugging Face07EVER-Z /torchange_Changen2-S1-15kgated Dataset Card for Changen2-S1-15k Changen2-S1-15k (a building change dataset with 15k pairs and 2 change types), 0.3-1m spatial resolution, RGB bands Dataset Sources Repository: https://github.com/Z-Zheng/pytorch-change-models Paper: https://ieeexplore.ieee.org/document/10713915 Citation BibTeX: @article{zheng_changen2, author={Zheng, Zhuo and Ermon, Stefano and Kim, Dongjun and Zhang, Liangpei and Zhong, Yanfei}, journal={IEEE Transactions on Pattern… See the full description on the dataset page: https://huggingface.co/datasets/EVER-Z/torchange_Changen2-S1-15k.image10K<n<100K0 likes12 downloads1y agoHugging Face08EVER-Z /torchange_Changen2-S9-27kgated Dataset Card for Changen2-S9-27k Changen2-S9-27k (an urban land-use/landcover change dataset with 27k pairs and 38 change types), 0.25-0.5m spatial resolution, RGB bands Mask information (following OpenEarthMap dataset): Background = 0 Bareland = 1 Rangeland = 2 DevelopedSpace = 3 Road = 4 Tree = 5 Water = 6 AgricultureLand = 7 Building = 8 Dataset Sources Repository: https://github.com/Z-Zheng/pytorch-change-models Paper: https://ieeexplore.ieee.org/document/10713915… See the full description on the dataset page: https://huggingface.co/datasets/EVER-Z/torchange_Changen2-S9-27k.image10K<n<100K0 likes5 downloads1y agoHugging Face

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