Tongji Parking-slot Dataset 2.0
2D Keypoints
Classification
Vehicle
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License: Unknown

Overview

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,

Subset Number of samples
indoor parking lot 226
outdoor normal daylight 546
outdoor rainy 244
outdoor shadow 1127
outdoor street light 147
outdoor slanted 48

Data Collection

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.

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Citation

@article{tongjiparkingslot,
  title={Vision-based Parking-slot Detection: A DCNN-based Approach and A Large-scale Benchmark Dataset},
  author={Lin Zhang,Senior Member, IEEE, Junhao Huang, Xiyuan Li, and Lu Xiong},
  journal={IEEE TRANSACTIONS ON IMAGE PROCESSIN},
  year={2018}
}
Data Summary
Type
Image,
Amount
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Size
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Provided by
Tongji University
Tongji University, one of China’s earliest national key universities, is a prestigious institution of higher education which is directly under the Ministry of Education (MOE) and is supported by the Shanghai Municipality.
Issue
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