Sold by: InfoBay AI Ltd.
Deployed on AWS
Sample repository from an egocentric video dataset featuring first-person recordings for computer vision, activity recognition, video understanding, wearable AI, and behavioral analysis.
Overview
Egocentric Video Dataset for First-Person Vision & Human Activity Understanding
Overview
This dataset is a large-scale collection of egocentric video data designed to support research, development, and evaluation of computer vision, video understanding, human activity recognition, behavioral analysis, and multimodal AI systems.
The corpus contains first-person video recordings captured from an egocentric perspective, providing a realistic representation of human interactions, activities, object usage, environmental context, and day-to-day tasks. The dataset enables the development of AI systems capable of understanding visual experiences from a human viewpoint.
The first-person perspective provides valuable context for analyzing actions, hand-object interactions, scene transitions, task execution, and environmental awareness, making the dataset suitable for a broad range of computer vision and video intelligence applications.
Key Use Cases
- Egocentric Vision
- First-Person Video Understanding
- Human Activity Recognition
- Action Recognition
- Behavioral Analysis
- Wearable AI Systems
- Scene Understanding
- Human-Centered Computer Vision
- Video Analytics
- Visual Understanding
- Multimodal AI Applications
- Robotics and Embodied AI
- Human-Object Interaction Analysis
Dataset Features
- Large-scale first-person video recordings
- Real-world egocentric perspectives
- Human activity and interaction data
- Diverse environments and scenarios
- Natural motion and scene transitions
- Wearable-camera style recordings
- Rich contextual visual information
- Suitable for training and evaluation workflows
Content Coverage
The dataset captures a wide range of real-world activities and interactions, including:
- Daily activities
- Human-object interactions
- Indoor and outdoor environments
- Task-oriented workflows
- Environmental exploration
- Contextual scene understanding
- Activity sequencing and event analysis
- Natural human behavior patterns
The diversity of activities and environments helps support the development of robust computer vision systems capable of understanding dynamic real-world situations.
AI Training Applications
The dataset is designed to support modern AI and computer vision workflows, including activity recognition, video understanding, action segmentation, scene analysis, visual reasoning, and multimodal learning.
Organizations can utilize this dataset for developing wearable AI solutions, intelligent assistants, robotics systems, human behavior analysis platforms, video analytics solutions, and next-generation vision-based AI applications.
Research & Development Applications
The corpus can support:
- Egocentric video research
- First-person vision systems
- Embodied AI development
- Human activity modeling
- Human-centered AI applications
- Visual perception research
- Context-aware AI systems
- Intelligent monitoring and analytics solutions
Data Collection
The dataset consists of first-person video recordings curated to provide diverse visual contexts, activities, and interaction patterns. The content has been organized to support large-scale machine learning, computer vision, and AI development workflows.
Licensing & Access
This listing contains sample data intended for research, evaluation, and educational purposes. Enterprise licensing and access to the complete dataset are available upon request.
InfoBay AI
Email: taha.alvi@infobay.ai Phone: +91 92363 54075
Highlights
- Large-scale egocentric video corpus featuring first-person recordings across diverse activities, environments, and real-world interaction scenarios
- Designed for activity recognition, action recognition, video understanding, behavioral analysis, wearable AI, and computer vision applications.
- Supports development of human-centered AI systems, embodied AI, multimodal models, robotics, video analytics, and visual understanding workflows.
Details
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Delivery method
Deployed on AWS
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Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimensions summary
This listing offers a single pricing dimension: Product Access (Units), billed at no cost. You subscribe to gain access to the egocentric video dataset, which contains first-person video data for AI training, fine-tuning, and evaluation. There are no tiers, instance sizes, or usage add-ons to choose between. Access is granted through this one unit-based dimension. Because the product is free, you are not charged based on volume or usage. The vendor also reviews data handling, licensing scope, and privacy requirements before delivery of the selected dataset.
Top-of-mind questions for buyers
One unit grants your subscription access to the egocentric video dataset of first-person video data. It is a single access grant, not a per-user, per-hour, or per-gigabyte meter. You are not counted or charged by volume. The dataset supports AI training, fine-tuning, evaluation, and domain-specific model development.
No. Because access is free, your cost does not increase with usage, volume, or dataset size. There are no tiers, included amounts, or overage thresholds that trigger charges. The single access unit stays at no cost regardless of how much of the dataset you use.
The vendor reviews data handling, licensing scope, and applicable privacy requirements for the selected dataset before delivery. Teams can request a scoped sample to evaluate format, coverage, and suitability. Datasets are structured with source, modality, language, category, and quality metadata to support review and compliance workflows.
infobay.ai
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Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Additional details
You will receive access to the following data sets.
Data set name | Type | Historical revisions | Future revisions | Sensitive information | Data dictionaries | Data samples |
|---|---|---|---|---|---|---|
First-Person Vision Dataset for AI Training | All historical revisions | All future revisions | Not included | Not included |
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