Published February 3, 2021
| Version v1
Dataset
Open
Amazon and Atlantic Forest image datasets for semantic segmentation
- 1. Federal University of Fronteira Sul
Description
This database contains images from Amazon and Atlantic Forest brazilian biomes used for training a fully convolutional neural network for the semantic segmentation of forested areas in images from the Sentinel-2 Level 2A Satellite.
The images refer to the composition of bands 4, 3, 2 and 8. Each band was converted to a byte type (0-255).
The images are still divided into three main sets: training, validation and testing:
- Training dataset: it contains 499 and 485 GeoTIFF images (Amazon and Atlantic Forest, respectively) with 512x512 pixels and associated PNG masks (forest indicated in white and background in black color).
- Validation dataset: it contains 100 GeoTIFF images for each biome with 512x512 pixels and associated PNG masks used for validation step.
- Test dataset: it contains 20 GeoTIFF images for each biome with 512x512 pixels for testing.
Files
Files
(2.3 GB)
Name | Size | Download all |
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md5:fd2a55b8437d65ac86e1a11161aeef98
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1.2 GB | Download |
md5:86ac319b7ff6738a96f555abb79fb445
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1.2 GB | Download |