@inproceedings{ca469c1d78344170a57e2c8f4cfb2055,
title = "Prototype GOD: Prototype Generic Objects Dataset for an Object Detection System based on Bird's -Eye View",
abstract = "We propose a new prototype training dataset, GOD(Generic Objects Dataset), for object detection systems. Our dataset was constructed to fit a bird's-eye view, not a general eye-level view. We analyzed the training dataset for the eye-level view such as Pascal VOC(Visual Objects Classes), ImageNet, Microsoft COCO(Common Objects in Context), Caltech, and SUN, which were created by many researchers and AMTs(Amazon Mechanical Turk). We then developed a prototype of the proposed GOD, taking into account the statistical properties gained from them. Our prototype GOD has both 16,830 images based on 'bird's-eye view' and 126,510 bounding boxes annotated objects for 10 object categories. This paper confirms statistical properties similar to those of Microsoft COCO.",
keywords = "Bird's-Eye View, Eye-level View, Object Detection, Prototype GOD",
author = "Yoon, \{Young Suk\} and Hwang, \{Joong Won\} and Jung, \{Sung Uk\} and Jongyoul Park",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 9th International Conference on Information and Communication Technology Convergence, ICTC 2018 ; Conference date: 17-10-2018 Through 19-10-2018",
year = "2018",
month = nov,
day = "16",
doi = "10.1109/ICTC.2018.8539407",
language = "English",
series = "9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "892--897",
booktitle = "9th International Conference on Information and Communication Technology Convergence",
}