surface-defect
Kolektor_Surface_Defect
Dataset Card for Kolektor Surface-Defect Dataset
KolektorSDD (Kolektor Surface-Defect Dataset) is a grayscale industrial surface-inspection
dataset of electrical commutators.
This FiftyOne dataset uses the box-annotation release intended for the ICPR 2021 and
COMIND 2021 papers (download): one sample per
surface image, with defect regions annotated as axis-aligned bounding boxes stored as filled
rectangles in the label masks.
This is a FiftyOne dataset with 399 samples.… See the full description on the dataset page: https://huggingface.co/datasets/Voxel51/Kolektor_Surface_Defect.wood_surface_defectsKodytek P, Bodzas A and Bilik P. A large-scale image dataset of wood surface defects for automated vision-based quality control processes [version 2; peer review: 2 approved]. F1000Research 2022, 10:581 (https://doi.org/10.12688/f1000research.52903.2)
Bounding boxes only, semantic maps
All images are 2800 x 1024 pixels (width x height)
Images compressed using
PIL.Image.Image.save(
format="JPEG",
optimize=True,
quality=50,
)
Bounding boxes converted to YOLO format.
TODO: loader… See the full description on the dataset page: https://huggingface.co/datasets/iluvvatar/wood_surface_defects.Car-Gear-Surface-Defect-Detectionyolo-neu-det-surface-defect-object-detection
NEU-DET钢材表面缺陷目标检测数据集
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yolo-neu-det-surface-defect-classification
NEU-DET钢材表面缺陷分类数据集
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yolo-wood-surface-defect-detection
木材表面缺陷检测数据集
本数据集为木材表面缺陷检测数据集，适用于计算机视觉领域的目标检测任务。
数据集标签信息
检测类别数（nc）：4
类别名称：Crack（裂纹）, Dead Knot, Live Knot, Marrow
适用场景
Crack, Dead Knot, Live Knot等多类目标的智能检测
目标检测模型训练与部署
计算机视觉算法研究
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