InfoBayAI/egocentric_video

Dataset Description: This dataset is a large-scale collection of egocentric video data, containing 229,189 hours of video, designed to support the development and training of advanced computer vision, video understanding, action recognition, and multimodal AI systems. Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows, improving model performance in temporal reasoning, activity recognition, scene… See the full description on the dataset page: https://huggingface.co/datasets/InfoBayAI/egocentric_video.