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---
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
``` |