A dataset for detecting buildings, containers, and cranes in satellite images
- Citation Author(s):
-
Hiroyuki Miyazaki
- Submitted by:
- Hiroyuki Miyazaki
- Last updated:
- DOI:
- 10.21227/7yfp-9p87
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- Categories:
- Keywords:
Abstract
This dataset contains annotation image files representing shapes of buildings, containers, and cranes in satellite images on Google Earth. The datasets are structured in useful formats for machine learning and deep learning applications.
Instructions:
- Buildings: The zip files contain PNG with annotations (a*.png; pixel value 1 for building and 0 for non-building) and JPEG files with satellite images (i*.jpg) in a size of 1024x1024 pixels with 0.298-m resolution. Three letters in file names indicate countries by ISO 3166 country codes.
- Cranes: The zip files contain JPEG files of satellite images in 0.5-m resolution and LebelMe JSON with labeled polygons. The labels have classes of "crane", "gantry_crane", and "standby_gantry_crane."
- Containers: The zip files contain JPEG files of satellite images in 0.5-m resolution and LebelMe JSON with labeled polygons.
hi
Micheline Moumoula
Fri, 06/10/2022 - 09:36
Permalink
Need Dataset for Research Purpose.
Vijay Katkar
Fri, 07/08/2022 - 02:34
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Dataset Files
- Building data for Japan (Size: 202.63 MB)
- Building data for Thailand (Size: 115.04 MB)
- Building data for Sri Lanka (Size: 26.46 MB)
- Building data for Laos (Size: 30.49 MB)
- Building data for Mozambique (Size: 91.85 MB)
- Building data for Kenya (Size: 384.51 MB)
- Building data for Zambia (Size: 1.71 GB)
- Dataset for crane detection (Size: 40.72 MB)
- Dataset for container detection (Size: 17.59 MB)
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