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Datasets:
wangyi111
/
Copernicus-Bench

Tasks:
Image Classification
Image Segmentation
Modalities:
Geospatial
ArXiv:
Tags:
earth-observation
remote-sensing
benchmark
foundation-model
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@@ -23,26 +23,23 @@ A hierarchical ML benchmark for Copernicus Sentinels, with 15 datasets spread in
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  | Level | Name | Task | # Images | Image Size | # Classes | Source | License |
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  |-------|-----------------|------|------------------|---------------|-----------|-------------------------|-------------------------|
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- | **L1 (Preprocessing)** |
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- | L1 | Cloud-S2 | seg | 1699/567/551 | 512x512x13 | 4 | [CloudSEN12](https://huggingface.co/datasets/tacofoundation/cloudsen12) | CC 0 1.0 |
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- | L1 | Cloud-S3 | seg | 1197/399/399 | 256x256x21 | 5 | new | CC BY 4.0 |
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- | **L2 (Base Applications)** |
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- | L2 | EuroSAT-S1 | cls | 16200/5400/5400 | 64x64x2 | 10 | [EuroSAT-SAR](https://huggingface.co/datasets/wangyi111/EuroSAT-SAR) | CC BY 4.0 |
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- | L2 | EuroSAT-S2 | cls | 16200/5400/5400 | 64x64x13 | 10 | [EuroSAT](https://github.com/phelber/EuroSAT) | MIT |
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- | L2 | BigEarthNet-S1 | cls | 11894/6117/5991 | 120x120x12 | 19 | [BigEarthNet v2.0](https://bigearth.net/) | CDLA-Permissive-1.0 |
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- | L2 | BigEarthNet-S2 | cls | 11894/6117/5991 | 120x120x12 | 19 | [BigEarthNet v2.0](https://bigearth.net/) | CDLA-Permissive-1.0 |
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- | L2 | LC100Cls-S3 | cls | 5181/1727/1727* | 96x96x21 | 23 | new | CC BY 4.0 |
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- | L2 | DFC2020-S1 | seg | 3156/986/986 | 256x256x13 | 10 | [DFC2020](https://ieee-dataport.org/competitions/2020-ieee-grss-data-fusion-contest) | CC BY 4.0 |
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- | L2 | DFC2020-S2 | seg | 3156/986/986 | 256x256x13 | 10 | [DFC2020](https://ieee-dataport.org/competitions/2020-ieee-grss-data-fusion-contest) | CC BY 4.0 |
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- | L2 | LC100Seg-S3 | seg | 5181/1727/1727* | 96x96x21 (288x288) | 23 | new | CC BY 4.0 |
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- | **L3 (Specialized Applications)** |
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- | L3 | Flood-S1 | cd | 3000/1000/1000 | 224x224x2 | 3 | [Kuro Siwo](https://github.com/Orion-AI-Lab/KuroSiwo) | MIT |
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- | L3 | LCZ-S2 | cls | 15000/5000/5000 | 32x32x10 | 17 | [So2Sat LCZ42](https://github.com/zhu-xlab/So2Sat-LCZ42) | CC BY 4.0 |
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- | L3 | Biomass-S3 | reg | 3000/1000/1000* | 96x96x21 (288x288) | 1 | new | CC BY 4.0 |
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- | L3 | AQ-NO2-S5P | reg | 1480/493/494* | 56x56x1 | 1 | new | CC BY 4.0 |
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- | L3 | AQ-O3-S5P | reg | 1480/493/494* | 56x56x1 | 1 | new | CC BY 4.0 |
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  - **Curated by:** Wang, Yi, et al.
 
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  | Level | Name | Task | # Images | Image Size | # Classes | Source | License |
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  |-------|-----------------|------|------------------|---------------|-----------|-------------------------|-------------------------|
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+ | L1 | Cloud-S2 | segmentation (cloud) | 1699/567/551 | 512x512x13 | 4 | [CloudSEN12](https://huggingface.co/datasets/tacofoundation/cloudsen12) | CC 0 1.0 |
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+ | L1 | Cloud-S3 | segmentation (cloud) | 1197/399/399 | 256x256x21 | 5 | new | CC BY 4.0 |
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+ | L2 | EuroSAT-S1 | classification (LULC) | 16200/5400/5400 | 64x64x2 | 10 | [EuroSAT-SAR](https://huggingface.co/datasets/wangyi111/EuroSAT-SAR) | CC BY 4.0 |
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+ | L2 | EuroSAT-S2 | classification (LULC) | 16200/5400/5400 | 64x64x13 | 10 | [EuroSAT](https://github.com/phelber/EuroSAT) | MIT |
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+ | L2 | BigEarthNet-S1 | classification (LULC) | 11894/6117/5991 | 120x120x12 | 19 | [BigEarthNet v2.0](https://bigearth.net/) | CDLA-Permissive-1.0 |
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+ | L2 | BigEarthNet-S2 | classification (LULC) | 11894/6117/5991 | 120x120x12 | 19 | [BigEarthNet v2.0](https://bigearth.net/) | CDLA-Permissive-1.0 |
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+ | L2 | LC100Cls-S3 | classification (LULC) | 5181/1727/1727* | 96x96x21 | 23 | new | CC BY 4.0 |
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+ | L2 | DFC2020-S1 | segmentation (LULC) | 3156/986/986 | 256x256x13 | 10 | [DFC2020](https://ieee-dataport.org/competitions/2020-ieee-grss-data-fusion-contest) | CC BY 4.0 |
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+ | L2 | DFC2020-S2 | segmentation (LULC) | 3156/986/986 | 256x256x13 | 10 | [DFC2020](https://ieee-dataport.org/competitions/2020-ieee-grss-data-fusion-contest) | CC BY 4.0 |
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+ | L2 | LC100Seg-S3 | segmentation (LULC) | 5181/1727/1727* | 96x96x21 (288x288) | 23 | new | CC BY 4.0 |
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+ | L3 | Flood-S1 | change detection (flood) | 3000/1000/1000 | 224x224x2 | 3 | [Kuro Siwo](https://github.com/Orion-AI-Lab/KuroSiwo) | MIT |
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+ | L3 | LCZ-S2 | classification (local climate zone) | 15000/5000/5000 | 32x32x10 | 17 | [So2Sat LCZ42](https://github.com/zhu-xlab/So2Sat-LCZ42) | CC BY 4.0 |
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+ | L3 | Biomass-S3 | regression (biomass) | 3000/1000/1000* | 96x96x21 (288x288) | 1 | new | CC BY 4.0 |
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+ | L3 | AQ-NO2-S5P | regression (air quality) | 1480/493/494* | 56x56x1 | 1 | new | CC BY 4.0 |
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+ | L3 | AQ-O3-S5P | regression (air quality) | 1480/493/494* | 56x56x1 | 1 | new | CC BY 4.0 |
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+ L1: preprocessing, L2: base applications, L3: specialized applications. *: time series available.
 
 
 
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  - **Curated by:** Wang, Yi, et al.