Floppanacci/tomogram-Bacterial-Flagellar-motors-location

本数据集来源于Kaggle比赛“BYU - Locating Bacterial Flagellar Motors 2025”，旨在定位3D冷冻电子断层扫描（cryo-ET）重建的细菌图像中的鞭毛马达。数据集包括3D断层扫描图像（tomograms），每个断层扫描图像由多个2D图像切片堆叠而成。该数据集用于训练和评估计算机视觉模型，以实现对细菌鞭毛马达的检测和定位。数据集分为训练集和测试集，训练集包含标签信息，测试集不包含标签信息。数据集的挑战在于低信号噪声比、鞭毛马达方向的多变性以及细胞内环境的复杂性。

This dataset is from the Kaggle competition BYU - Locating Bacterial Flagellar Motors 2025, aiming to locate flagellar motors in 3D cryogenic electron tomography (cryo-ET) reconstruction images of bacteria. The dataset includes 3D tomogram images, each composed of multiple 2D image slices. It is used for training and evaluating computer vision models to detect and localize bacterial flagellar motors. The dataset is divided into training and test sets, with the training set containing labeled information and the test set without labels. The challenges of the dataset include low signal-to-noise ratio, variability in motor orientation, and complexity of the intracellular environment.