BROWSE
Detail
Conference Paper
Prototype GOD: prototype Generic Objects Dataset for an Object Detection System based on Bird’s –Eye View
Cited 1 time in 
Share 
Share
- Authors
- Young-Suk Yoon, Joong-Won Hwang, Sung-Uk Jung, Jongyoul Park
- Issue Date
- 2018-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.892-897
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- 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.
- KSP Keywords
- Amazon mechanical turk(AMT), Bounding Box, Intrusion detection system(IDS), Object detection, Statistical properties