Sold by: InfoBay AI Ltd.
Deployed on AWS
Sample repository from a large-scale User Generated Content (UGC) video corpus featuring real-world videos across diverse creators, environments, activities, and content categories for video understanding and AI applications.
Overview
User Generated Content (UGC) Video Dataset
Overview
This dataset is a large-scale collection of User Generated Content (UGC) videos designed to support video understanding, content analysis, computer vision, multimodal AI, and machine learning applications.
The corpus contains authentic user-generated videos captured across diverse environments, activities, lifestyles, and real-world scenarios. The dataset reflects the variety and complexity commonly found in modern digital content, providing valuable visual data for developing robust AI systems capable of understanding real-world video content.
The collection includes videos recorded by individuals across multiple settings, capturing natural interactions, activities, events, locations, and everyday experiences. This diversity enables AI systems to learn from realistic visual patterns and user-generated media formats.
Key Use Cases
- Video Understanding
- Content Analysis
- Activity Recognition
- Scene Understanding
- Human Behavior Analysis
- Multimodal AI
- Visual Search
- Video Classification
- Content Recommendation Systems
- Social Media Analytics
- Consumer Content Analysis
- Video Intelligence Applications
Dataset Features
- Large-scale UGC video collection
- Real-world user-generated videos
- Diverse creators and recording environments
- Multiple activity and lifestyle categories
- Natural visual content and interactions
- Broad environmental coverage
- Suitable for training and evaluation workflows
- Rich contextual video information
Content Coverage
The dataset includes user-generated videos spanning a wide range of categories and scenarios, including:
- Lifestyle content
- Daily activities
- Entertainment videos
- Social interactions
- Indoor and outdoor environments
- Personal experiences
- Community activities
- Consumer-generated media
- Event-based recordings
- Real-world visual content
The diversity of environments, creators, and activities provides extensive visual variability for training robust AI systems.
AI & Analytics Applications
The corpus supports development of video intelligence systems capable of understanding visual content, contextual information, activity patterns, and user-generated media. Organizations can leverage the dataset for video analytics, content moderation, recommendation systems, visual search, multimodal learning, and next-generation video understanding applications.
Data Collection
The dataset consists of user-generated video content curated to represent diverse visual environments, activities, and content styles. The collection is organized to support research, evaluation, and large-scale 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 User Generated Content (UGC) video corpus featuring real-world videos captured across diverse environments, creators, and content categories.
- Includes authentic consumer-generated video content covering daily activities, lifestyle, entertainment, social interactions, and real-world scenarios.
- Supports video understanding, content analysis, activity recognition, multimodal learning, visual search, and AI model development 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.
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Dimensions summary
This listing offers a single pricing dimension: Product Access (Units). It grants subscribers access to the User Generated Content video dataset at no cost. There are no tiers, instance sizes, or usage add-ons to compare. The dataset itself covers user-generated video, classroom recordings, and storytelling footage for multimodal AI training. Volume and source-type mix are scoped with the vendor per engagement. Because pricing is free, the single unit dimension simply enables access rather than metering usage or scaling with consumption.
Top-of-mind questions for buyers
The unit grants subscriber access to the video dataset. It does not meter usage or scale by volume. Instead, the actual data you receive is scoped per engagement with the vendor. You define your model, languages, and volume, and the vendor scopes a sample and licensing path with you.
Yes. The volume and source-type mix are scoped per engagement. The corpus mixes STEM classroom recordings, vertical short-form user-generated video, and long-form storytelling footage. You can license a specific source type or combination rather than the entire dataset.
Video ships as MP4 using the AV1 codec, audited per clip. Each file pairs with JSON metadata covering source type, orientation, and refining-flag results. Every clip passes an eight-step refining pipeline, including synthetic-media detection and watermark checks, before licensing.
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 |
|---|---|---|---|---|---|---|
UGC Video Dataset for Computer Vision & Multimodal AI | All historical revisions | All future revisions | Not included | Not included |
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