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cubert-gmbh/XMR_Industrial_Foreign_Object_Detection_Lentils

Hyperspectral foreign-object detection in lentils: the full dataset The larger counterpart of the tutorial demo at cubert-gmbh/XMR_Demo_Industrial_Foreign_Object_Detection_Lentils. Foreign-object detection in food sorting is an inspection problem: the rejected target can be a stone, a stem, a piece of packaging, a metal shard or an insect. Here the bulk product is bag-grade lentils (Emershofer Beluga and dark green marbled) and the contaminants span seven… See the full description on the dataset page: https://huggingface.co/datasets/cubert-gmbh/XMR_Industrial_Foreign_Object_Detection_Lentils.

Author / organizationcubert-gmbh
License (as declared)apache-2.0
Downloads865 (as reported by Hugging Face)
Likes0
Created3 June 2026
Last updated at source9 October 2026
hyperspectralhyperspectral-imaginganomaly-detectionforeign-object-detectionfood-safetyfood-qualityindustrial-inspectionlentilscu3scubertxmrcuvis
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