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title: 38-Cloud
homepage: https://github.com/SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset
category: EarthScience
description: Contains 38 Landsat 8 scene images and their manually extracted pixel-level ground truths for cloud detection. They are cropped into multiple 384384 patches. It has 8400 patches for training and 9201 patches for testing.
version: 1.0
keywords: Landsat 8, cloud detection, image segmentation, semantic segmentation.
image: https://github.com/SorourMo/38-Cloud-A-Cloud-Segmentation-Dataset/blob/master/sample/blue_patch_192_10_by_12_LC08_L1TP_002053_20160520_20170324_01_T1.jpg
temporal:
spatial: 384
384
access_level: public
copyrights:
accrual_periodicity:
specification:
data_quality: false
data_dictionary:
language: en
license: Apache License
publisher:

  • name:
    web:
    organization:
  • name: Laboratory for Robotic Vision (LRV), School of Engineering Science, Simon Fraser University, Canada
    web:
    issued_time: 2019.02
    sources:
  • name:
    access_url:
    references:
  • title:
    reference:

Updated homepage URL and description for the USDA Nutrient Database.
Updated the homepage URL and modified the description for Australian Weather data.
@ppival ppival merged commit 3fc363a into awesomedata:master Nov 5, 2025
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ppival commented Nov 5, 2025

Thanks, @Daniel15568

Daniel15568 added a commit to Daniel15568/apd-core that referenced this pull request Nov 21, 2025
Merge pull request awesomedata#332 from Daniel15568/master
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2 participants