Fong-Ji-Tsai
Image Processing engineer
ML / AI engineer
Specialization: Image Processing Algorithms、Machine Learning、AI
• Cooperation Project
I. Automated Glass Defect Detection
II. Handle defect detection
• Participate in Kaggle competitions :
I. SIIM-ISIC Melanoma Classification
II. APTOS 2019 Blindness Detection
• Mail: [email protected]
Education
Sep. 2016 - June. 2020
Bachelor of Computer Science and Information Engineering, National Ilan University
Sep. 2020 - Aug. 2022
Master of Computer Science Computer Science and Information Engineering, Hyperspectral Signal and Image Processing Laboratory, National Yunlin University of Science and Technology.
Skill
Programming language
- Python
- C / C++
ML/DL library
- Tensorflow
Image processing library
- OpenCV
- scikit-learn
Operating System
- Windows
- Linux
Tool
- Git
Project
Automated Glass Defect Detection
Sep. 2021 - July. 2022
Develop an automatic glass defect detection system, which can classify glass defects.
Related technology : Feature extraction ,Data Augmentation, CNN
Handle defect detection
Apr . 2022 - July. 2022
Develop an automatic handle defect detection system, which can identify and classify handle defects, such as bubble and paint peeling.
Related technology : OpenCV, Skimage, Region of Interest(ROI) , YOLOv5
SIIM-ISIC Melanoma Classification
Melanoma is a type of skin cancer. I classify melanoma and non-melanoma in the competition.
Related technology : Data Augmentation, Focal loss, CNN
APTOS 2019 Blindness Detection
- Detect diabetic retinopathy to stop blindness before it's too late
To classify diabetic retinopathy grade
Related technology : OpenCV, Feature reinforcement, CNN, Weighted Kappa
