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蔡逢記

• 產學合作 I. 自動化玻璃瑕疵檢測系統 運用影像處理與深度學習尋找玻璃瑕疵。 II. 機器手把瑕疵檢測系統 運用Yolov5針對機器手把塗漆產生的氣泡與掉漆現象作瑕疵辨識。 • 參加Kaggle競賽: I. SIIM-ISIC Melanoma Classification II. APTOS 2019 Blindness Detection
國立雲林科技大學

Professional Background

  • Current status
  • Profession
    Machine Learning Engineer
  • Fields
    Software
  • Work experience
    Less than 1 year (Less than 1 year relevant)
  • Management
    None
  • Skills
    Machine Learning
    Image Processing
    Python
    C/C++
  • Languages
    English
    Intermediate
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Full-time
    Interested in working remotely
  • Desired positions
  • Desired work locations
  • Freelance
    Non-freelancer

Work Experience

No content as of now.

Education

Master’s Degree
資訊工程
2020 - 2022
Bachelor’s Degree
資訊工程
2016 - 2020