The dataset can be used to deal with the optimization design of feeder-bus network related to urban rail transit. The research on the optimization design of feeder-bus network related to urban rail transit is helpful to improve passengers' travel satisfaction and convenience, and solve the connection problem between rail transit station and bus stop. The dataset contains a 4 km by 5 km area, providing the coordinates of 80 bus stops and 4 rail transit stations.
Although the vertical Chinese text recognition dataset presented by Yu is public, it is reproduced from the PosterErase dataset, collected from the e-commerce platform for the poster text erasing task, and does not contain the challenges from real application scenarios. Therefore, we establish a benchmark dataset (Vertical and Horizontal Text Recognition Dataset, WHU-VHTR) to promote in-depth research on STR. WHU-VHTR contained 23674 images annotated with line-level transcriptions, collecting from Google Street View and real urban scene images in China.
LDRText is a large-scale and diverse dataset that suitable for scene text image super-resolution and recognition tasks
There are two data files, named 'Data1.mdb' and 'Data2.mdb'. A total of 87,272 pieces of data, including 43,607 pieces of data in file 'Data1.mdb' and 43,665 pieces of data in file 'Data2.mdb'. Please open them with ACCESS software.
