Benchmark Dataset for Tape Fibre Layups

This dataset contains surface scans of fibre tape layups for benchmarking evaluation algorithms and training Machine Learning algorithms that detect defects in these scans. It consists of a set of 1200 real scans, collected using a laser line triangulation sensor, and 1200 artificial images that aim to mimic the real scans. All images have pixel-accurate annotations.For both subsets, a split into training data (990 images) and test data (210 images) has been predefined. For benchmarking purposes, it is recommended only to use the test data split of the real scans. All data points can be used for training and evaluating machine learning algorithms.

本数据集汇聚了纤维胶带层压表面扫描图像，旨在为评估算法及训练用于检测此类扫描图像中缺陷的机器学习算法提供基准。数据集包含1200幅实际扫描图像，采用激光线三角测量传感器采集，以及1200幅旨在模拟真实扫描的人工图像。所有图像均具备像素级的标注。对于两个子集，均预设了训练数据（990幅图像）和测试数据（210幅图像）的划分。出于基准测试的目的，建议仅使用真实扫描图像的测试数据部分。所有数据点均可用于训练和评估机器学习算法。