InfoBayAI/egocentric_video

Dataset Description:

This dataset is a large-scale collection of egocentric video dataset, designed to support the development of advanced AI systems for human activity understanding, multimodal learning, wearable vision intelligence, and next-generation contextual AI applications.

The dataset contains diverse first-person videos captured from wearable or body-mounted perspectives, including daily activities, human-object interactions, indoor and outdoor navigation, instructional tasks, workplace activities, educational scenarios, lifestyle recordings, and real-world environment interactions.

Additionally, this dataset can be integrated into pipelines for Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF) workflows, helping improve AI performance in action recognition, contextual reasoning, human behavior understanding, decision-making systems, and multimodal video-language learning tasks.

Key Use Cases

Egocentric human activity understanding
First-person action recognition
Human-object interaction analysis
Video captioning and summarization
Multimodal recommendation and reasoning systems

Dataset Specification

Modality: Video (Audio + Visual)
Format: Egocentric / First-Person Perspective
Type: Human Activity & Real-World Interaction
Duration: 1,00,000 Hours

Value of This Dataset

Enables advanced AI training for egocentric and wearable vision systems
Improves multimodal understanding of human actions and environments
Supports AI systems for contextual reasoning, captioning, and summarization
Helps build intelligent assistive technologies and embodied AI systems
Enhances performance in video-language and multimodal reasoning tasks

Data Creation

Procured through formal agreements and generated in the ordinary course of business.

Considerations

This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website or contact us directly.

-Ph: (91) 8303174762
-Email: datareq@infobay.ai