UTEL-UIUC/parkseg12k

该数据集是一种针对停车场分割任务的增强型数据集，包含mask、rgb和nir三种类型的图像特征。数据集分为训练集和测试集，适用于深度学习模型的训练和评估。数据集的构建是通过修正和处理Parking Reform Network (PRN)数据和OpenStreetMap (OSM)数据来生成mask图像。

This dataset is an enhanced dataset for parking lot segmentation, containing three types of image features: mask, rgb, and nir. The dataset is split into training and test sets, suitable for training and evaluation of deep learning models. The construction of the dataset involves correcting and processing Parking Reform Network (PRN) data and OpenStreetMap (OSM) data to generate mask images.