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95-Cloud
95‑Cloud is an extension of the 38‑Cloud dataset for binary cloud segmentation in satellite imagery. It contains 34,701 training patches of size 384 × 384 derived from 75 Landsat 8 Collection 1 Level‑1 scenes, primarily located in North America. The test set is identical to that of 38‑Cloud and contains 9,201 patches. Each patch includes four spectral channels: red, green, blue, and near‑infrared.
Updated 5/5/2024
github
Description
Dataset Overview
Dataset Name
- 95‑Cloud
Dataset Description
- 95‑Cloud is an extended cloud‑detection dataset built upon the previously released 38‑Cloud dataset.
Dataset Content
- Training Set: 34,701 patches of 384 × 384 pixels, mainly extracted from 75 Landsat 8 Collection 1 Level‑1 scenes covering North America.
- Test Set: Identical to the 38‑Cloud test set, containing 9,201 patches from 20 scenes.
Dataset Characteristics
- The training set adds 57 new scenes compared with 38‑Cloud.
- Each patch provides four corresponding spectral bands: red (band 4), green (band 3), blue (band 2), and near‑infrared (band 5), stored in their respective directories.
- The directory structure mirrors that of 38‑Cloud.
Download and Usage
- The dataset is split into two download parts:
- The 95‑Cloud training set covering 57 scenes.
- The remaining training scenes (38 scenes) and the 20 test scenes.
- After downloading, combine the parts.
Notes
- Thin clouds and haze are treated as cloud (same as thick cloud).
- Natural‑color images are pseudo‑color visualizations for inspection only and are not used for training or testing.
- A CSV file listing 21,502 informative patches (with less than 80 % black borders) is provided.
Citation
- If you use this dataset, please cite the associated paper.
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Topics
Satellite Image Analysis
Cloud Segmentation
Source
Organization: github
Created: 9/18/2019
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