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학술대회 Prototype GOD: Prototype Generic Objects Dataset for an Object Detection System based on Bird’s -Eye View
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윤영석, 황중원, 정성욱, 박종열
International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.892-897
18HS4600, (딥뷰-1세부) 실시간 대규모 영상 데이터 이해·예측을 위한 고성능 비주얼 디스커버리 플랫폼 개발, 박종열
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 제안 키워드
Amazon mechanical turk(AMT), Bounding Box, Intrusion detection system(IDS), Object detection, Statistical properties