Datasets › LNDST
LNDST
The Landsat collection contains 400x400 RGB pictures captured by the Landsat 8 satellite. Each image might show areas of water and other areas that are just the background. Your task is to design a classifier that identifies each pixel as either 0 (background) or 1 (water), using integer values. For training, you'll receive the RGB images in jpg format along with a corresponding mask. In this mask, a '0' indicates the background, and a '1' indicates water. However, for testing, you'll only receive the RGB image without the mask.
Benchmarks archive 2025-07-28
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Papers archive 2025-07-28
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Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
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Modalities archive 2025-07-28
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Languages archive 2025-07-28
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Variants archive 2025-07-28
- LNDST
1 variant name, as the archive lists them.
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