Datasetpublic

hotosm/fAIr-guru-td-buildings

HOT OAM Segmentation Dataset Semantic segmentation training data. Aerial imagery tiles from OpenAerialMap paired with OpenStreetMap labels, drawn from HOT Tasking Manager projects. The labelled feature is recorded in the feature_type column and in the generated statistics below. Structure One row per image tile. Column Description image 256x256 RGB aerial chip, georeferenced mask Binary raster, 0 background, 255 feature. Empty when the feature is not… See the full description on the dataset page: https://huggingface.co/datasets/hotosm/fAIr-guru-td-buildings.

sourceHugging Facecc-by-4.0updated 2mo agoView on Hugging Face

0likes12downloads

settings

This repository belongs to hotosm on Hugging Face.

CoolFace never edits a repository it does not host. Visibility, licence, collaborators and gating are all managed at the source.

namefAIr-guru-td-buildings

visibilitypublic

licencecc-by-4.0

gatedno

ownerhotosm

Account settings