상세정보
학술대회
Prototype GOD: Prototype Generic Objects Dataset for an Object Detection System based on Bird’s -Eye View
- 발행일
- 201810
- 출처
- International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.892-897
- 협약과제
- 18HS4600, (딥뷰-1세부) 실시간 대규모 영상 데이터 이해·예측을 위한 고성능 비주얼 디스커버리 플랫폼 개발, 박종열
- 초록
- 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