自訂 Cookie
禁止且拒絕未經各資訊當事人同意，擅自蒐集本服務提供的使用者個人資訊資料等資料之行為。即使是公開資料，若未經許可使用爬蟲等技術裝置進行蒐集，依個人資訊保護法可能會受到刑事處分，特此告知。
© 2025 Rocketpunch, 주식회사 더블에이스, 김인기, 大韓民國首爾特別市城東區聖水一路10街 12, 12樓 1號, 04793, support@rocketpunch.com, +82 10-2710-7121
統一編號 206-87-09615
更多
經歷
* Applied Deep Learning Techniques to detect and classify disposable wastes from factories, including (YOLOv5, YOLO‑R, YOLOv7, DINO and the recent YOLOv8). • Implemented a novel approach to estimate the volume (and therefore, the mass) of waste materials using object detection techniques. • Utilized the OCR technique to extract and curate a dataset of LEGO model components for use as input in object detection and image classification algorithms. • I am currently researching on the best Time Series Model (Convolutional LSTM) to predict future pressure and temperature values, and apply the DDPG Reinforcement Learning Algorithm in order to design an effective, AI assisted car cooling system.
更多
image processing of holographic microscopy images using AI
- Trained and tested some Deep Learning models for the Detection of components of a railway using YOLOv5, YOLOR, DINO, and the recently released YOLOv7. - Developed a user interface using Python's binding for the Qt user interface so as to visualize the bounding boxes detected by an object detection model - Developed internal tools for fast and efficient data processing, data cleaning, and visualization
更多
學歷
活動
最近活動
獲獎 3
證照 3
專案 5
프로젝트
Artificial Barber
2022년 9월 - 2022년 12월 · 4개월
Hair Style and Color changing using improved version of StyleGAN2, deployed on interactive Graphical User Interface (GUI) with PyQt. Major Improvements: Tremendously increased inference speed (for about 10x), introduced conversion to any color chosen from color pallete
프로젝트
Facial Expression Recognition
2022년 3월 - 2022년 6월 · 4개월
Currently Working on a Deep Learning project to recognize human facial expressions independent of age, appearance, and ethnicity using ResNet CNN architecture with creative data augmentation techniques supported by the pyTorch library.
맘마도프압바스님과 함께 참여함.
프로젝트
Fake Import Declaration Detection
2022년 3월 - 2022년 6월 · 4개월
Identifying fake import declaration project whose dataset is obtained from the Korean Customs Agency. I am applied classical Machine learning algorithms along with data-preprocessing and creative data augmentation piplelines using scikit learn and pytorch libraries.
프로젝트
Chest x-ray image classification
2022년 4월 - 2022년 5월 · 2개월
I implemented 2 resnet and 1 alexnet CNN models which identifies pneumonia from chest x-ray images using pytorch framework, with 75% accuracy for the alexnet, and 87.5% and 93% accuracies on the resnet models on the validation dataset
자격증
Neural Networks and Deep Learning
2022년 2월
This course is a part of "deep learning specialization" which is offered in Coursera by Andrew Ng. It's really important course that teaches most of the essential tools and concepts we need to get a full understanding on deep learning. Link https://bit.ly/35toFsm