摘要
This study solves the problem of food assessment for the elder in a health village, via Nvidia Jetson devices and increasingly comprehensive transfer learning techniques. For the increasing of dish dataset, incremental learning is used. The main contributions include: first, building a food recognition system through transfer learning, incremental learning and edge computing; second, the ResNet-18 based model in the system has mAP 100% accuracy.
| 原文 | 英語 |
|---|---|
| 主出版物標題 | Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 |
| 發行者 | Institute of Electrical and Electronics Engineers Inc. |
| 頁面 | 237-238 |
| 頁數 | 2 |
| ISBN(電子) | 9781665470506 |
| DOIs | |
| 出版狀態 | 已出版 - 2022 |
| 事件 | 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 - Taipei, 台灣 持續時間: 06 07 2022 → 08 07 2022 |
出版系列
| 名字 | Proceedings - 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 |
|---|
Conference
| Conference | 2022 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2022 |
|---|---|
| 國家/地區 | 台灣 |
| 城市 | Taipei |
| 期間 | 06/07/22 → 08/07/22 |
文獻附註
Publisher Copyright:© 2022 IEEE.
指紋
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