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Sequence-based object detection with yolov7
- Author(s)
- 안대훈
- Alternative Author(s)
- Dae Hoon Ahn
- Advisor
- 신동욱
- Department
- 일반대학원 수학과
- Publisher
- The Graduate School, Ajou University
- Publication Year
- 2023-08
- Language
- eng
- Keyword
- Object detection; Sequence-based detection; YOLOv7
- Alternative Abstract
- In this paper, we propose a novel algorithm called sequence-based object detection to identify accidents in advance and prevent secondary accidents. To evaluate our proposed algorithm, we also propose a novel metric called sequence-based evaluation. We trained model for two datasets, one-class dataset and three-class dataset. For one-class dataset, we used focal loss, and as the results we achieved mAP@0.5 score above o.8 and accuracy 1.0. For three-class dataset, we compared focal loss and quality focal loss, and as the results we achieved mAP@0.5 score above 0.7 and accuracy 1.0.
- Fulltext
- Appears in Collections:
- Graduate School of Ajou University > Department of Mathematics > 3. Theses(Master)
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