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: datareq@infobay.ai Phone: +91 8303174762
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
Sold by
Categories
Delivery method
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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 one pricing dimension: Product Access, billed by units at no cost. There are no tiers, instance sizes, or usage add-ons to compare. You subscribe once to gain access to the egocentric video dataset for AI training. Because pricing is free, the unit-based dimension simply grants entry rather than scaling cost with volume. Any specific dataset scope, language mix, or licensing path is arranged directly with the vendor as a separate engagement.
Top-of-mind questions for buyers
One unit grants subscriber entry to the egocentric video dataset for AI training. It is an access grant, not a per-clip or per-hour meter. The specific dataset scope, volume, and source-type mix are scoped with the vendor as a separate engagement.
Access itself carries no cost, but the dataset scope is not fixed by the unit. Every engagement begins with a quality baseline. You share your model, languages, and volume, and the vendor scopes a sample and licensing path with you directly.
You can scope the data rather than take the whole corpus. Volume and source-type mix are set per engagement, so you select the coverage you need. Delivery ships as MP4 (AV1) with JSON metadata covering source type, orientation, and refining-flag results.
infobay.ai+1
Helpful?
Vendor refund policy
No Refunds
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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 |
Similar products
AI-powered platform for nationwide education readiness, delivered as managed specialized services with gamified learning, smart assessments, AWS scalability, and data privacy.
Moving large datasets across cloud environments is a complex, time-consuming, and error-prone process, due to challenges with manual configurations, infrastructure provisioning, and data validation. Such data migration projects require specialized knowledge, continuous monitoring, and extensive planning.
DataArt Apollo reduces risk, cost and complexity by automating migration planning, orchestration, execution and validation, and enhances performance through automated error handling, adaptive task management, and intelligent data placement.
Enterprise-grade data platform delivering full governance, large-scale dataset capabilities, and deep integrations for organizations with complex data & operations needs.
This product has charges associated with it for seller support on consulting for Architecture best practices, new env consulting and technical support. Minimum Instance Resource requirements: vCPU: 4 | Memory (GiB): 32 Aerospike is a multi-model, NoSQL real-time database platform for large-scale JSON and SQL use cases
Fully managed NebulaGraph Database-as-a-Service on AWS.
The graph database that always-on.