Inhwan Cho

Key Skills

Software

AWS SageMaker

Top Subject Matter

Video Data Labeling for Driver Distraction

Image Data Labeling for Driver Distraction

Image Data Labeling for Driver Distraction from outside of cars

Top Data Types

Image

Video

Top Task Types

Classification

Data Collection

Point Key Point

Freelancer Overview

Recently, the installation of cameras in vehicles to document evidence of accidents has been on the rise. In addition to this, I led a project to install internal cameras aimed at determining whether drivers are focused on driving or are being distracted by various elements that compromise safe driving. Utilizing big data, we developed a system that triggers an alert when the driver’s behavior captured by the camera corresponds to identified distraction factors. To facilitate the collection of data on driving distractions, it is essential to label facial landmarks such as Emotion, Eye, Head, Yawning, Smoking, Phone Call, and Phone Browsing. This labeling task is critical, as it must accurately represent the driver's state in the video, ensuring no detail is overlooked for effective data analysis. Given the vast amount of data required, this project involved an extensive labeling effort over an extended period.

Labeling Experience

Driver Drowsiness Detection Techniques

Aws SagemakerVideoObject DetectionAction Recognition

Labeled facial landmarks such as Emotion, Eye, Head, Yawning, Smoking, Phone Call, and Phone Browsing, Head pose, Object Detection, Gaze Detection, Emotion Detection for data collection on distractions while driving.

Labeled facial landmarks such as Emotion, Eye, Head, Yawning, Smoking, Phone Call, and Phone Browsing, Head pose, Object Detection, Gaze Detection, Emotion Detection for data collection on distractions while driving.

2020 - 2021

Education

Work History