An Approach of Real-Time Object Detection using YOLO Model

碩士 === 靜宜大學 === 資訊傳播工程學系 === 107 === In this thesis, we propose real-time object recognition using YOLO model, and use orange, guava, and grapefruit as identification experiments. The method we adopted is to train 90 pieces of orange, guava, and grapefruit for identification model training. In the t...

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Bibliographic Details
Main Authors: HSU, SHUO-FANG, 許碩芳
Other Authors: CHANG, CHIH-HUNG
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/3679xu