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_Lentils.
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fix: replace mpeg4/mp4v with H.264 (lentils_3method_input.mp4)
fix: replace mpeg4/mp4v with H.264 (lentils_3method_teaser.mp4)
fix: replace mpeg4/mp4v with H.264 (Auto_003+01_concrete_input.mp4)
fix: replace mpeg4/mp4v with H.264 (Auto_003+01_cir_input.mp4)
fix: replace mpeg4/mp4v with H.264 (Auto_003+01_rgb_input.mp4)
fix: replace mpeg4/mp4v overlay video with H.264 (Auto_003+01_concrete_overlay.mp4)
fix: replace mpeg4/mp4v overlay video with H.264 (Auto_003+01_cir_overlay.mp4)
fix: replace mpeg4/mp4v overlay video with H.264 (Auto_003+01_rgb_overlay.mp4)
Delete measurements/README.md
Add structured README, assets, per-method videos, and per-session measurement logs
Upload 2 datasets: one video (ending with '_55'), another static snapshots with coco annotations (#4)
initial commit