Inria Aerial Image Labeling Dataset

Inria Aerial Image Labeling Dataset Description The Inria Aerial Image Labeling Dataset is a building semantic segmentation dataset proposed in “Can semantic labeling methods generalize to any city? the inria aerial image labeling benchmark,” Maggiori et al.. It consists of 360 high-resolution (0.3m) RGB images, each with a size of 5000×5000 pixels. These images are extracted from various international GIS services, such as the USGS National Map. Project page:… See the full description on the dataset page:

Source: Hugging Face Hub (blanchon/INRIA-Aerial-Image-Labeling). Metadata imported from the dataset’s Hub tags.