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--- |
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license: mit |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: label |
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dtype: |
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class_label: |
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names: |
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'0': AnnualCrop |
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'1': Forest |
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'2': HerbaceousVegetation |
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'3': Highway |
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'4': Industrial |
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'5': Pasture |
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'6': PermanentCrop |
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'7': Residential |
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'8': River |
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'9': SeaLake |
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splits: |
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- name: train |
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num_bytes: 70666516.8 |
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num_examples: 21600 |
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- name: validation |
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num_bytes: 8700747.8 |
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num_examples: 2700 |
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- name: test |
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num_bytes: 8631409.1 |
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num_examples: 2700 |
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download_size: 93886033 |
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dataset_size: 87998673.69999999 |
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task_categories: |
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- image-classification |
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--- |
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# Dataset Card for EuroSat |
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## Table of Contents |
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- [How to Use](#How-to-Use) |
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- [Dataset Description](#dataset-description) |
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- [Dataset Summary](#dataset-summary) |
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- [Dataset Structure](#dataset-structure) |
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- [Data Instances](#data-instances) |
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- [Data Fields](#data-fields) |
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- [Data Splits](#data-splits) |
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- [Additional Information](#additional-information) |
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- [Licensing Information](#licensing-information) |
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## How to Use |
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- Install [datasets](https://pypi.org/project/datasets/): |
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```bash |
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pip install datasets |
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``` |
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- How to use in Python |
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```py |
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from datasets import load_dataset |
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train_data = load_dataset("Honaker/eurosat_dataset", split="train") |
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``` |
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## Dataset Description |
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- **Homepage:** https://zenodo.org/record/7711810#.ZAm3k-zMKEA |
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### Dataset Summary |
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EuroSat is an image classification dataset with 10 different classes on satellite imagery. There is over 27,000 labeled images. |
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## Dataset Structure |
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The dataset is structured as follows: |
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```py |
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DatasetDict({ |
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train: Dataset({ |
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features: ['image', 'labels'], |
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num_rows: 21600 |
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}) |
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validation: Dataset({ |
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features: ['image', 'labels'], |
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num_rows: 2700 |
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}) |
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test: Dataset({ |
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features: ['image', 'labels'], |
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num_rows: 2700 |
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}) |
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}) |
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``` |
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### Data Instances |
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An example of the data for one image is: |
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```py |
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{ |
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'image': <PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=64x64>, |
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'labels': 0 |
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} |
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``` |
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With the type of each field being defined as: |
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```py |
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{ |
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'image': <PIL.JpegImagePlugin.JpegImageFile>, |
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'labels': Integer |
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``` |
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### Data Fields |
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The dataset has the following fields: |
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- 'image': Satellite image that is of type <PIL.TiffImagePlugin.TiffImageFile image> |
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- 'labels': the label of the Satellite image as an integer |
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### Data Splits |
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| | Train | Validation | Test | |
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|----------------|--------|------------|------| |
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| Images | 21600 | 2700 | 2700 | |
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## Additional Information |
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### Licensing Information |
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EuroSat is licensed under a MIT |