Data Labeler – Drowsiness Evaluation
VideoClassification
In a data labeling project focused on drowsiness evaluation, I labeled video data indicating driver drowsiness at three distinct levels. I ensured 100% accuracy in my labels to support research and model training in driver safety systems. This work contributed to building reliable machine learning models for automated drowsiness detection.
• Labeled video segments for drowsiness classification at multiple levels.
• Maintained a high standard of labeling quality and accuracy.
• Supported the training of computer vision models in automotive safety domains.
• Collaborated with a multidisciplinary research team to enhance annotation consistency.
In a data labeling project focused on drowsiness evaluation, I labeled video data indicating driver drowsiness at three distinct levels. I ensured 100% accuracy in my labels to support research and model training in driver safety systems. This work contributed to building reliable machine learning models for automated drowsiness detection. • Labeled video segments for drowsiness classification at multiple levels. • Maintained a high standard of labeling quality and accuracy. • Supported the training of computer vision models in automotive safety domains. • Collaborated with a multidisciplinary research team to enhance annotation consistency.
Not specified