quick and meticulous collection
Project to collect images of obstacles or hazards so that dangerous elements can be detected during autonomous driving of drones or vehicles
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I have extensive experience in data labeling and AI training data, with a focus on a variety of practical applications. I contributed to AI image collection for drone flight and emergency landing scenarios, ensuring accurate identification of environmental factors critical to safe operations. Additionally, I worked on generating natural language response texts to internet search queries, improving AI models' ability to understand and respond in a human-like manner. Further, my expertise extends to motion capture through skeleton labeling, which was crucial for projects requiring precise human movement tracking. I also collected and labeled images for in-car driver monitoring systems to prevent drowsy driving, enhancing the safety and functionality of AI in automotive applications. My versatility across multiple AI-related projects, including visual and text-based data labeling, sets me apart in delivering comprehensive datasets for AI model training.
Project to collect images of obstacles or hazards so that dangerous elements can be detected during autonomous driving of drones or vehicles
Bachelor, chemistry
Yonghyeok K. hasn’t added any Work History to their OpenTrain profile yet.