Performance analysis of object detection algorithms using small training datasets
Object detection using machine learning approach has seen wide adoption in virtually all known industries in the past decade. Much investment and research has been put into building the most accurate object detection algorithm. However, implementation of these algorithms is only accessible to organi...
Saved in:
主要作者: | Anthony, Benedict |
---|---|
其他作者: | Kedar Hippalgaonkar |
格式: | Final Year Project |
語言: | English |
出版: |
Nanyang Technological University
2022
|
主題: | |
在線閱讀: | https://hdl.handle.net/10356/157247 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
相似書籍
-
Data-driven models for surface enhancement processes
由: Lee, Lukas Yi Liang
出版: (2021) -
Accelerated development of soft magnetic materials
由: Padhy, Shakti Prasad
出版: (2023) -
Comprehensive investigation and quantification of quality repeatability for laser powder bed fusion processed 316L stainless steel
由: Huang, De Jun
出版: (2022) -
Object detection in car cabin environment
由: Lee, Wai Yeong
出版: (2023) -
Object aware learning for object detection in bad weather conditions (part 1)
由: Mittal Ishan
出版: (2022)