foreign-object-detection
X4_SWIR_Industrial_Foreign_Object_Detection_Bedding
Hyperspectral Foreign-Object Detection in Bedding — Full Dataset (VIS + SWIR)
A 6-band VIS+SWIR hyperspectral dataset for industrial foreign-object
detection on a bedding substrate (a tray of wood-shaving / sawdust animal
bedding). Captured with a Cubert Ultris X4 + SWIR rig — 6 spectral bands
at 450 / 550 / 625 nm (VIS) and 1050 / 1200 / 1450 nm (SWIR), 2400 × 4900
pixels per frame. 252 frames (193 train · 59 val), 51 frames carry
pixel-level polygon… See the full description on the dataset page: https://huggingface.co/datasets/cubert-gmbh/X4_SWIR_Industrial_Foreign_Object_Detection_Bedding.XMR_Industrial_Foreign_Object_Detection_Lentils
Hyperspectral Foreign-Object Detection in Lentils — Full Dataset
The larger counterpart to the small tutorial demo at
cubert-gmbh/XMR_Demo_Industrial_Foreign_Object_Detection_Lentils.
Captured with a Cubert Ultris XMR camera — 61 bands per pixel, 430–910 nm, 1080 × 1000 pixels. Three acquisition days, 15 merged .cu3s capture sessions, 1,136 frames total, 696 frames with pixel-level COCO annotations across 7 foreign-object classes.
Foreign-object detection in… See the full description on the dataset page: https://huggingface.co/datasets/cubert-gmbh/XMR_Industrial_Foreign_Object_Detection_Lentils.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 this… See the full description on the dataset page: https://huggingface.co/datasets/cubert-gmbh/XMR_Demo_Industrial_Foreign_Object_Detection_Lentils.yolo-conveyor-belt-foreign-object-detection
传送皮带异物检测
本数据集为传送皮带异物检测，适用于工业AI领域的目标检测任务。
数据集标签信息
检测类别数（nc）：3
类别名称：box（盒子）, comb（梳子）, toothbrush（牙刷）
适用场景
box的智能识别与检测
comb的智能识别与检测
toothbrush的智能识别与检测
工业产线智能质检与缺陷自动筛查
网盘地址
在线下载链接：https://www.data2.cn
在线获取数据集：传送皮带异物检测
访问 https://www.data2.cn 访问 data2.cn 获取下载链接