229K+ Hours Generic Egocentric Video Dataset
Generative AI & Computer Vision
Tags and Keywords
£278,500
About
229K+ Hours Generic Egocentric Video Dataset
Description
The 229K+ Hours Generic Egocentric Video Dataset is a comprehensive collection of first-person (egocentric) visual data designed to support the development of AI, computer vision, robotics, embodied AI, and multimodal machine learning systems. Captured from a wearable or head-mounted camera perspective, the dataset provides realistic representations of human interactions, object manipulations, navigation, and everyday activities across diverse environments.
The dataset is suitable for training, fine-tuning, and benchmarking models for first-person perception, scene understanding, activity recognition, object detection, visual reasoning, and autonomous systems.
Note: The listed price applies to the specified initial batch of 25,000 hours of egocentric video. Pricing for larger batches or the complete dataset library varies depending on total video duration, video quality and resolution, metadata availability, annotation requirements, number of attributes, scene and task diversity, camera perspective, file formats, licensing terms, and customization needs. Final pricing will be determined based on the specific dataset requirements.
Data Product Features
| Feature | Description |
|---|---|
| Video File | Name of the egocentric video file. |
| File Format | Video file format (e.g., MP4, MOV). |
| Frame Rate (FPS) | Number of frames captured per second. |
| Camera Perspective | First-person (egocentric) viewpoint captured using a wearable or head-mounted camera. |
| Scene Category | Type of environment where the video was recorded (e.g., indoor, outdoor, office, home, retail, public space). |
| Activity Category | Primary activity or task performed within the video. |
| Human-Object Interaction | Describes interactions between the camera wearer and surrounding objects. |
| Camera Motion | Camera movement during recording (e.g., stationary, walking, running, cycling). |
| Environment Type | General recording environment (e.g., residential, commercial, educational, industrial, healthcare). |
Distribution
- Formats: MP4
Data Volume
- Volume: 229K+ Hours
- Dataset Size: The dataset size may vary depending on video resolution, duration, frame rate, file formats, compression quality, metadata availability, annotations, and dataset version.
Usage
This data product is ideal for a variety of applications:
- Action Recognition: Train models to recognize first-person human activities.
- Object Detection: Detect and classify objects appearing in egocentric scenes.
- Instance Segmentation: Develop pixel-level object segmentation models.
- Human-Object Interaction: Learn interactions between people and surrounding objects.
- Embodied AI: Build intelligent agents capable of understanding first-person environments.
- Robotics: Improve robot perception, manipulation, and navigation.
- Visual Question Answering: Support multimodal AI applications.
- Autonomous Systems: Enhance perception and contextual scene understanding.
- Video Analytics: Analyze first-person visual recordings.
- Computer Vision Research: Benchmark next-generation vision algorithms.
Coverage
The dataset provides broad coverage across multiple environments and real-world scenarios.
- Geographic Coverage: Global
- Demographics : Diverse participants across different age groups, occupations, and environments
License
CC BY 4.0 (Creative Commons Attribution 4.0 International)
AI Training Rights
InfoBay.AI ensures that all datasets are sourced, curated, and managed with proper ownership verification, licensing documentation, and data provenance records. We hold the necessary rights to license and sublicense the datasets we provide through formal agreements with our data vendors, which grant us the required permissions for commercial licensing and AI training use cases. To ensure transparency and compliance, we maintain relevant documentation and have previously shared redacted agreements for selected datasets as evidence of our data rights and licensing authority.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
| File_Name | String | Image or video filename | MP4, MOV |
| File_Type | String | Type of media | Video |
| Frame_Rate | Integer | Frames per second | 24, 30, 60 FPS |
| Camera_Perspective | String | Recording viewpoint | Egocentric / First-Person |
| Scene_Category | String | Environment classification | Indoor, Outdoor, Office, Kitchen, etc. |
| Activity_Label | String | Human activity | Walking, Cooking, Washing, etc. |
| Object_Labels | String/Array | Objects present in the scene | Person, Laptop, Cup, Door, Phone, etc. |
| Interaction_Label | String | Human-object interaction | Holding, Picking, Opening, Closing, Carrying |
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data.
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£278,500
Download Dataset in VIDEO Format
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