datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
umbraThe SAR data are obtained from the UMBRA Open Data Program (https://umbra.space/open-data/).
The dataset has been created combining the WorldCover by ESA (https://esa-worldcover.org/en) with the UMBRA images.
BIOME information has been extracted from the RESOLVE biome dataset (https://ecoregions.appspot.com/).
Reverse geo-coding with OSM nominatim (https://nominatim.openstreetmap.org).
(more details asap)
Authors: Federico Ricciuti, Federico Serva, Alessandro Sebastianelli
License: Same as… See the full description on the dataset page: https://huggingface.co/datasets/fedric95/umbra.rlbench_put_umbrella_in_umbrella_standCCTV_Weapon_Detection_Rifles_vs_Umbrellas
Synthetic Weapon Detection: Rifles vs. Umbrellas (CCTV)
Overview
This is an open-source synthetic dataset designed to solve the single biggest problem in Weapon Detection AI: False Positives.
Standard models often confuse common handheld objects—like closed umbrellas, tripods, or tools—with firearms. This dataset focuses specifically on Hard Negative Mining, containing a balanced split of lethal weapons (Rifles) and visual lookalikes (Umbrellas) seen from realistic CCTV… See the full description on the dataset page: https://huggingface.co/datasets/Simuletic/CCTV_Weapon_Detection_Rifles_vs_Umbrellas.imnet1k_umbrellarlbench_take_umbrella_out_of_umbrella_standimnet1k_ruffed_grouse_partridge_Bonasa_umbellusidefics2