video object tracking & autonomous Vehicle dataset
VideoBounding Box
Performed high-precision bounding box annotation on multi frame video sequences for autonomous vehicle training. Tasks included identifying and tracking dynamic objects such as pedestrians, cyclists, and various vehicle classes across diverse weather conditions and lighting environments. Ensured temporal consistency between frames and maintained a 98%+ accuracy rate to meet strict quality benchmarks for machine learning model performance.
Performed high-precision bounding box annotation on multi frame video sequences for autonomous vehicle training. Tasks included identifying and tracking dynamic objects such as pedestrians, cyclists, and various vehicle classes across diverse weather conditions and lighting environments. Ensured temporal consistency between frames and maintained a 98%+ accuracy rate to meet strict quality benchmarks for machine learning model performance.
2025 - Present