InfoBayAI/User_Generated_Content

Dataset Description:

This dataset is a large-scale collection of user-generated video data, designed to support the development of advanced AI systems for video understanding, content analysis, and multimodal learning.

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 video classification, captioning, summarization, and multimodal reasoning tasks.

Key Use Cases

-Action and activity recognition
-Speech-to-text and multimodal understanding
-Content moderation and safety detection
-Recommendation systems for video platforms
-Human behavior and interaction analysis
-Model evaluation and benchmarking

Dataset Specification

-Modality: Video
-Type: User-Generated Content
-Data Source: Public platforms, curated submissions, and user-generated media
-Data Nature: Real-world and diverse content
-Volume: Large-scale multi-domain dataset
-Duration : 30K Hours

Value of This Dataset

-Enables advanced video and multimodal AI model development
-Improves contextual and temporal understanding in AI systems
-Helps build AI-powered video analytics and recommendation platforms
-Enhances performance in real-world content understanding
-Strengthens LLMs with multimodal reasoning capabilities

Full Dataset Overview

130K+ hours of video data covering STEM and user-generated content

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 InfoBay AI or contact us directly.

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