Facebook
TwitterEuroSAT
EuroSAT is a benchmark dataset for land use and land cover classification based on Sentinel-2 satellite imagery. It contains 27,000 labeled images covering 10 classes (e.g., agricultural, residential, industrial, and forest areas). The dataset features multi-spectral bands with a spatial resolution of 10 meters per pixel and an image resolution of 64 × 64 pixels.
How to Use This Dataset
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/GFM-Bench/EuroSAT.
Facebook
TwitterMIT Licensehttps://opensource.org/licenses/MIT
License information was derived automatically
Eurosat is a dataset and deep learning benchmark for land use and land cover classification. The dataset is based on Sentinel-2 satellite images covering 13 spectral bands and consisting out of 10 classes with in total 27,000 labeled and geo-referenced images.
Not seeing a result you expected?
Learn how you can add new datasets to our index.
Facebook
TwitterEuroSAT
EuroSAT is a benchmark dataset for land use and land cover classification based on Sentinel-2 satellite imagery. It contains 27,000 labeled images covering 10 classes (e.g., agricultural, residential, industrial, and forest areas). The dataset features multi-spectral bands with a spatial resolution of 10 meters per pixel and an image resolution of 64 × 64 pixels.
How to Use This Dataset
from datasets import load_dataset
dataset =… See the full description on the dataset page: https://huggingface.co/datasets/GFM-Bench/EuroSAT.