cm93/resnet-50-eurosat
Image Classification
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Updated
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48
Datasets:
image
imagewidth (px) 64
64
| label
class label 10
classes |
|---|---|
3AnnualCrop
|
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8PermanentCrop
|
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4SeaLake
|
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4SeaLake
|
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7Residential
|
|
5HerbaceousVegetation
|
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5HerbaceousVegetation
|
|
8PermanentCrop
|
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6Industrial
|
|
5HerbaceousVegetation
|
|
7Residential
|
|
0Forest
|
|
1River
|
|
8PermanentCrop
|
|
2Highway
|
|
7Residential
|
|
9Pasture
|
|
9Pasture
|
|
1River
|
|
3AnnualCrop
|
|
7Residential
|
|
1River
|
|
0Forest
|
|
8PermanentCrop
|
|
0Forest
|
|
5HerbaceousVegetation
|
|
9Pasture
|
|
1River
|
|
3AnnualCrop
|
|
5HerbaceousVegetation
|
|
1River
|
|
9Pasture
|
|
0Forest
|
|
0Forest
|
|
3AnnualCrop
|
|
0Forest
|
|
1River
|
|
2Highway
|
|
3AnnualCrop
|
|
3AnnualCrop
|
|
3AnnualCrop
|
|
4SeaLake
|
|
5HerbaceousVegetation
|
|
8PermanentCrop
|
|
1River
|
|
9Pasture
|
|
0Forest
|
|
2Highway
|
|
7Residential
|
|
4SeaLake
|
|
4SeaLake
|
|
5HerbaceousVegetation
|
|
8PermanentCrop
|
|
4SeaLake
|
|
1River
|
|
6Industrial
|
|
8PermanentCrop
|
|
7Residential
|
|
6Industrial
|
|
7Residential
|
|
7Residential
|
|
4SeaLake
|
|
6Industrial
|
|
3AnnualCrop
|
|
8PermanentCrop
|
|
0Forest
|
|
5HerbaceousVegetation
|
|
2Highway
|
|
8PermanentCrop
|
|
2Highway
|
|
0Forest
|
|
3AnnualCrop
|
|
1River
|
|
8PermanentCrop
|
|
4SeaLake
|
|
5HerbaceousVegetation
|
|
1River
|
|
3AnnualCrop
|
|
2Highway
|
|
6Industrial
|
|
1River
|
|
3AnnualCrop
|
|
0Forest
|
|
6Industrial
|
|
4SeaLake
|
|
1River
|
|
2Highway
|
|
7Residential
|
|
3AnnualCrop
|
|
4SeaLake
|
|
2Highway
|
|
5HerbaceousVegetation
|
|
7Residential
|
|
6Industrial
|
|
4SeaLake
|
|
4SeaLake
|
|
6Industrial
|
|
0Forest
|
|
9Pasture
|
|
5HerbaceousVegetation
|
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EuroSAT-RGB Dataset
Dataset Description
The dataset comprises JPEG composite chips extracted from Sentinel-2 satellite imagery, representing the Red, Green, and Blue bands. It encompasses 27,000 labeled and geo-referenced images across 10 Land Use and Land Cover (LULC) classes
Dataset Structure
Splits : Train 80% Validation 10% Test 10% (Kept the original dataset's label distribution consistent in each split)
Citation
Helber, P., Bischke, B., Dengel, A., & Borth, D. (2018). EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification [Data set]. In EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification (Vol. 12, Number 7, pp. 2217–2226). Zenodo. https://doi.org/10.5281/zenodo.7711810
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Size of downloaded dataset files:
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Number of rows:
27,000
Models trained or fine-tuned on cm93/eurosat