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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: mask |
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dtype: image |
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splits: |
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- name: train |
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num_bytes: 93594923 |
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num_examples: 790 |
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download_size: 93617398 |
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dataset_size: 93594923 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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license: cc-by-4.0 |
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task_categories: |
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- image-segmentation |
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tags: |
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- geodata |
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- satellite |
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- sentinel2 |
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- ESA |
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pretty_name: Simple Satelite Segmentation (Norway) |
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size_categories: |
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- n<1K |
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--- |
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# Satellite Segmentation |
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Summary |
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------- |
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This dataset contains paired Sentinel-2 RGB tiles and corresponding land-cover masks (derived from ESA WorldCover) prepared for semantic segmentation. Each example has: |
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- `image`: RGB image (PNG) |
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- `mask`: integer-labelled mask (PNG, uint8) |
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Key details |
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----------- |
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- Source imagery: Sentinel-2 L2A via Microsoft Planetary Computer (STAC) |
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- Land-cover masks: ESA WorldCover (derived) |
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- Spatial resolution: 10 m (aligned to Sentinel-2 grid) |
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- CRS: EPSG:4326 |
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- Number of samples: 790 |
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- Train/validation split: Train |
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Provenance & license |
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-------------------- |
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This dataset was derived from third‑party datasets: |
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- Sentinel‑2 (Copernicus) |
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- ESA WorldCover |
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The user of this dataset must respect the original licenses and terms of use. The repository contains derived files (tiles). |
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Data format |
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----------- |
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- Images: PNG, RGB, 3 channels |
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- Masks: PNG, integer values representing classes (do not normalize/convert to RGB) |
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- Filenames: `{prefix}.png` and `{prefix}_mask.png` (paired by prefix) |
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How to load |
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----------- |
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Example (datasets library): |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("nikolkoo/SatelliteSegmentation") |
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``` |
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Example evaluation/training snippet |
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----------------------------------- |
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Use CrossEntropyLoss with logits and integer masks: |
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```python |
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# pseudocode |
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images = batch["image"] # (B,H,W,3) -> to tensor & permute |
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masks = batch["mask"] # (B,H,W) ints |
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logits = model(images) |
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loss = torch.nn.CrossEntropyLoss()(logits, masks) |
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``` |
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Citation |
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-------- |
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If you publish results using this dataset, cite the original data providers (Copernicus / ESA / Microsoft Planetary Computer) and this dataset repo. |
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Contact |
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------- |
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Feel free to add a comment in the Community 🤗 |
