Tongji Parking-slot Dataset 2.0

The Tongji Parking-slot Dataset 2.0 is A DCNN-based Approach and A Large-scale Benchmark Dataset. This dataset contains 9827 training images and 2338 test images. In order to test the performance of a parking-slot detection algorithm under different special conditions, test images are also grouped into 6 categories, The images in this dataset were surround-view images synthesized from four low-cost fisheye cameras. Various parking-slot types were considered, including the vertical ones, the parallel ones, and the slant ones. When collecting outdoor samples, different illumination conditions and weather conditions were considered. Typical image samples contained in this dataset is shown below.

同济停车场车位数据集2.0（Tongji Parking-slot Dataset 2.0）既是一种基于深度卷积神经网络（Deep Convolutional Neural Network, DCNN）的检测方法，同时也是一个大规模基准数据集。该数据集包含9827张训练图像与2338张测试图像。为了测试车位检测算法在各类特殊工况下的性能，测试图像被进一步划分为6个类别。本数据集内的图像均由四台低成本鱼眼摄像头（fisheye camera）合成得到，属于环视图像（surround-view image）。数据集涵盖了垂直车位、平行车位与倾斜车位等多种车位类型。在户外样本采集环节，该数据集充分覆盖了不同光照条件与天气状况。本数据集包含的典型图像样本如下所示。

搜集汇总

背景与挑战

背景概述

Tongji Parking-slot Dataset 2.0是一个用于停车位检测的大规模基准数据集，包含9827张训练图像和2338张测试图像，测试图像根据不同条件分为6个子集。数据集通过四个鱼眼摄像头合成的环视图像，涵盖了多种停车位类型和不同的环境条件。