Video Annotation for Real-Time Object Detection
CVATVideoBounding Box
I managed and annotated custom video datasets using CVAT for real-time object detection projects. My work involved consistent tracking and labeling of moving objects using frame-by-frame annotation tools. I exported annotated data in YOLO format to be directly utilized in machine learning model training.
• Utilized CVAT's Track and Shape functions for precise label consistency across video frames.
• Defined and labeled multiple classes, such as cars and two-wheelers, with distinct color codes.
• Prepared and exported annotation files for direct integration with AI training pipelines.
• Developed strong expertise in dynamic tracking and multi-object labeling for real-world computer vision tasks.
I managed and annotated custom video datasets using CVAT for real-time object detection projects. My work involved consistent tracking and labeling of moving objects using frame-by-frame annotation tools. I exported annotated data in YOLO format to be directly utilized in machine learning model training. • Utilized CVAT's Track and Shape functions for precise label consistency across video frames. • Defined and labeled multiple classes, such as cars and two-wheelers, with distinct color codes. • Prepared and exported annotation files for direct integration with AI training pipelines. • Developed strong expertise in dynamic tracking and multi-object labeling for real-world computer vision tasks.
2020 - 2021