EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification (Q6723897)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification |
Dataset published at Zenodo repository.
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification |
Dataset published at Zenodo repository. |
Statements
EuroSAT is a land use and land cover classification dataset. The dataset is based on Sentinel-2 satellite imagery covering 13 spectral bands and consistsof 10 LULC classes with a total of27,000 labeled and geo-referenced images. The dataset is associated with the publications Introducing EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification and EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification. EuroSAT_RGB.zip contains the RGB version of the dataset, which includesthe optical R, G and B frequency bands encoded as JPEG images. EuroSAT_MS.zip contains the multi-spectral version of the EuroSAT dataset, which includesall 13 Sentinel-2 bandsin the original value range.
0 references
22 July 2018
0 references