Omkar2118/datasets huggingface dataset:
ChaBuD
Full name: Change detection for Burned area Delineation

The dataset comprises patches of size 512x512 pixels collected from Sentinel-2 L2A satellite mission. All reported forest fires are located in California.
For each area of interest, two images are provided: pre-fire acquisition and post-fire acquisition. Each image is composed of 12 different channels, collecting information from the visible spectrum, infrared and ultrablue.

The dataset is split into:

- train set
- validation set
- hidden test set, for which ground truth labels are not disclosed.

The hdf5 file is structured in this way:

```
root
|
|- uuid_0: {"post_fire", "pre_fire", "mask"}
| 
|
|- uuid_1: {"post_fire", "pre_fire", "mask"}
|
...
```

Each uuid have associated an attribute called fold.

Dataset can be downloaded from [here](https://hf.co/datasets/chabud-team/chabud-ecml-pkdd2023). You can find a script that can be used to load data.

Additional optional data are available [here](https://huggingface.co/datasets/chabud-team/chabud-extra). If you need more data, contact us.