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AI 객체검출 기계학습 시 공포상세도의 첨차 중첩 미인식 사례 연구
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- Authors
- 전해완, 이승재, 류성룡
- Issue Date
- 2022-10
- Citation
- 대한건축학회 학술 대회 (추계) 2022, pp.276-279
- Publisher
- 대한건축학회
- Language
- Korean
- Type
- Conference Paper
- Abstract
- This study focuses on the AI object detection errors of Chum-Cha parts in Gongpo detail drawing. AI object detection is to detect four main components such as Ju-du, Soro, Sal-mi, and Chum-cha in Gongpo, and its performance and analysis are essential to developing AI-based CAD applications. We found Chum-Cha detection errors in the overlapped drawing parts. The Chum-Cha parts in the Gongpo detail drawing are represented without elevation difference, so AI object detection makes an error. We examine various cases of Chum-Cha parts, and experimental results confirm our analysis.
- KSP Keywords
- Drawing parts, Object detection