luisml77/aerial-d

Generalized Referring Expression Segmentation on Aerial Photos 🔗 Quick Links Aerial-D is a large-scale referring expression segmentation dataset for aerial imagery comprising 37,288 image patches with 1,522,523 referring expressions covering 259,709 annotated targets across individual instances, groups, and semantic categories spanning 21 distinct classes. The dataset contains high-resolution aerial photos (480×480 patches) with detailed instance… See the full description on the dataset page: https://huggingface.co/datasets/luisml77/aerial-d.

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