커뮤니티
프로젝트- 커뮤니티
- 프로젝트
OBJECT DETECTION IN LOW-CAPACITY MODEL
작성자 : 관리자
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작성일 : 2024.07.05
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조회수 : 66
◆ 프로젝트 명
OBJECT DETECTION IN LOW-CAPACITY MODEL
◆ 참여자
Mataru Mariia, Alshaiban Elia Ahmad A, Khamidava Sabryna, Normukhammadov Khayotjon, Pak Jiyan Ramazanovich,
WANKHEDE PRATIKSHA BHIMRAO
◆ 개발기간
2024.3~2024.6
◆ 프로젝트 내용
Traditional object detection models often rely on deep neural networks that demand substantial computational resources and memory. This limits their deployment on resource-constrained devices such as mobile phones, embedded systems or systems with limited power budgets.
We want to develop optimized object detection models that are smaller, faster and less memory-intensive than their traditional counterparts and we want to maintain reasonable accuracy that while making the models more efficient, they still reliably detect objects with an acceptable level of precision also we want to enable resource-constrained deployment by facilitating the use of object detection on mobile devices, embedded systems and other devices with limited computational power and memory.
