Prepare datasets

Datasets are prepared as datapipes from Dataset4EO.

ISPRS Vaihingen

(This is done in Dataset4EO)

The Vaihingen dataset is for urban semantic segmentation used in the 2D Semantic Labeling Contest - Vaihingen.

The dataset can be requested at the challenge homepage. The ‘ISPRS_semantic_labeling_Vaihingen.zip’ and ‘ISPRS_semantic_labeling_Vaihingen_ground_truth_COMPLETE.zip’ are required.

For Vaihingen dataset, please run the following command to download and re-organize the dataset.

python tools/convert_datasets/vaihingen.py /path/to/vaihingen

In our default setting (clip_size =512, stride_size=256), it will generate 344 images for training and 398 images for validation.