DATS_2020
Published: 29 April 2021| Version 1 | DOI: 10.17632/nfc34n8svj.1
Contributor:
Bhakti ParanjapeDescription
The dataset contains more than 9,000 images. A mix of photo and video mode of the camera was used to capture the images. 97 video sequences, 10-15 sec long with 30 frames per second (FPS) were recorded on various locations at different times of the day. 7,554 images could be recovered from the sequences as there were lot of redundant images. VLC Media Player was used to extract the frames from the video sequences. The images have a resolution of 1088 x 1920. Images collected in photo mode are 1,524 having a resolution of 2134 x 2988. 47 different classes are identified currently in this set of images.
Files
Steps to reproduce
The dataset can be downloaded from here. The images in .png format and the corresponding xml files are included in the dataset.
Categories
Applied Sciences