Video-based activity recognition system
The project aimed to train an AI model to accurately identify and classify different types of human activities, such as walking, running, or jumping, from video footage. My role included segmenting the videos into relevant clips and carefully labeling each frame with the corresponding action. This required a deep understanding of the nuances in human movement and keen attention to detail to ensure consistency and accuracy across thousands of frames.