---
license: other
license_name: license
license_link: LICENSE
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: id
    dtype: string
  - name: date
    dtype: string
  - name: bbox
    sequence: float64
  - name: geometry
    struct:
    - name: coordinates
      sequence:
        sequence:
          sequence: float64
    - name: type
      dtype: string
  - name: satellite
    dtype: string
  - name: track
    dtype: string
  - name: direction
    dtype: string
  - name: mode
    dtype: string
  - name: band
    dtype: string
  - name: polarization
    sequence: string
  - name: azimuth_res
    dtype: float64
  - name: range_res
    dtype: float64
  - name: rows
    dtype: int64
  - name: cols
    dtype: int64
  - name: size
    dtype: int64
  - name: image_href
    dtype: string
  - name: image
    dtype:
      image:
        decode: false
  - name: __index_level_0__
    dtype: int64
  splits:
  - name: train
    num_bytes: 489980007.0
    num_examples: 1
  download_size: 473816647
  dataset_size: 489980007.0
---


**AGPL-3.0 License**: This OSI-approved open-source license is for research only activities. See the LICENSE file for more details.

**Enterprise License**: Designed for commercial use, this license permits integration of AI models derived from this dataset into commercial goods and services, bypassing the open-source requirements of AGPL-3.0. If your scenario involves embedding this dataset into a commercial offering, contact me.



# Download json data (Last extraction 08/12/2024)
```
python extract.py
```

# Download the GEC images and create an excel file with some metadata
```
python download.py
```

# Download the label images from ESA WorldCover 2021
```
python label.py
```