cubert-gmbh/XMR_Demo_Industrial_Foreign_Object_Detection_Lentils
Demo for Hyperspectral Foreign-Object Detection in Lentils Video spectroscopy beyond the visible spectrum, applied to foreign-object detection on a sliding lentil conveyor. Captured with a Cubert Ultris XMR camera — 61 bands per pixel, 430–910 nm, 1080 × 1000 pixels at 4 fps. Foreign-object detection in food sorting is a general industrial-inspection problem — the rejected target could be a stone, a stem, a piece of packaging, a metal shard, or an insect. In… See the full description on the dataset page: https://huggingface.co/datasets/cubert-gmbh/XMR_Demo_Industrial_Foreign_Object_Detection_L
| Author / organization | cubert-gmbh |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 227 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 5 May 2026 |
| Last updated at source | 7 May 2026 |
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- 16 Oct 2026 Description: Demo for Hyperspectral Foreign-Object Detection in Lentils Video spectroscopy beyond the visible spectrum, applied to foreign-object detection on a sliding lentil conveyor. Captured with a Cubert Ultris XMR camera — 61 bands per pixel, 430– → Demo for Hyperspectral Foreign-Object Detection in Lentils Video spectroscopy beyond the visible spectrum, applied to foreign-object detection on a sliding lentil conveyor. Captured with a Cubert Ultris XMR camera — 61 bands per pixel, 430–
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