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yangqinzhe/LEVIRDet-159-Dataset

LEVIRDet-159 A Million-Scale 159-Category Dataset and Foundation Model for Universal Remote Sensing Object Detection Paper · GitHub · Project page · Interactive demo LEVIRDet-159 is a remote sensing object detection dataset with 159 hierarchical category names, 174,497 image files, and 2,563,973 bounding-box annotations in its hierarchical annotation set. It supports coarse and fine-grained detection, hierarchical evaluation, and research on generalization across remote sensing… See the full description on the dataset page: https://huggingface.co/datasets/yangqinzhe/LEVIRDet-159-Dataset.

Author / organizationyangqinzhe
Downloads224 (as reported by Hugging Face)
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Created7 October 2026
Last updated at source15 October 2026
imageremote-sensingearth-observationaerial-imagerysatellite-imageryfine-grained-object-detectionhierarchical-object-detectioncoco
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