Datasets:
filename string | relative_path string | original_extension string | stored_format string | file_type string | file_bytes unknown | original_size_bytes int64 | stored_size_bytes int64 | image_reencoded bool |
|---|---|---|---|---|---|---|---|---|
Sample - 02.mp4 | Sample - 02.mp4 | .mp4 | mp4 | audio_or_video | "KLUv/YBgREFOEAAAEAAAABRmdHlwcXQgIAAAAABxdCAgAAAACHdpZGUQSuI3bWRhdCEAA0BoHCEAA0BoHCEAA0BoHCEAA0BoHCE(...TRUNCATED) | 273,563,972 | 273,270,024 | false |
Narrated Egocentric Video Dataset
Overview
The Narrated Egocentric Video Dataset is an egocentric video collection intended for applications involving user-centric visual interactions, action understanding, spatial reasoning, and object-level task understanding.
The dataset contains video content in .mov and .mp4 formats. Its subject areas are relevant to research and development involving computer vision, video understanding, embodied AI, robotics, and intelligent agent training.
The dataset catalogue describes egocentric interactions that can support work on spatial reasoning, action understanding, object manipulation, and task understanding.
Further details about the narration format, transcript availability, annotation structure, and metadata schema are to be confirmed.
Dataset Highlights
- Egocentric Video Content: First-person-perspective video data.
- Video Formats:
.movand.mp4. - Spatial Reasoning: Relevant to research involving user-centric spatial interactions.
- Action Understanding: Relevant to understanding actions and activities in video.
- Object-Level Interactions: Covers themes involving object interactions, manipulation, and task understanding.
- Agent Training: Relevant to research and development involving intelligent agents.
Dataset Features
| Feature | Description |
|---|---|
| Dataset type | Egocentric video |
| Video formats | MOV, MP4 |
| Perspective | Egocentric / first-person |
Subject and Task Coverage
The dataset catalogue identifies the following areas of interest:
- User-centric interactions for spatial reasoning.
- Action understanding.
- Agent training.
- Object-level interactions.
- Manipulation and task understanding.
Supported AI Tasks
Potential research and development areas suggested by the dataset's stated themes include:
- Egocentric video understanding
- Action understanding
- Spatial reasoning
- Object interaction analysis
- Object manipulation research
- Task understanding
- Embodied AI research
- Intelligent agent development
Applications
The dataset's subject areas may be relevant to:
- First-person video analysis
- Computer vision research
- Video understanding systems
- Robotics and embodied AI research
- Spatial reasoning systems
- Object interaction and manipulation research
- Intelligent agent development
- AI and machine learning experimentation
Industries and Research Areas
The dataset catalogue presents a broad range of industry sectors across its egocentric video collection, including:
- Agriculture, landscaping, and miscellaneous activities
- Arts, crafts, and handmade production
- Automotive, repair, and retail operations
- Construction and facilities management
- Consumer electronics and wearables manufacturing
- Domestic services and home support
- Electronic components and PCB assembly
- Food preparation and kitchen support
- Food service and culinary activities
- General manufacturing and material handling
- Metalworking and plastics
- Manufacturing facilities and factory operations
- Optical products manufacturing and inspection
- Packaging, logistics, and warehousing
- Quality inspection and finishing
- Retail and customer service
- Textile, apparel, and accessories manufacturing
- Toy manufacturing
Dataset Format
The confirmed video file extensions are:
.mov.mp4
Dataset Structure
The exact directory and Parquet schema have not yet been verified.
The following is a conceptual illustration, not a confirmed representation of the actual files:
Narrated_Egocentric_Dataset/
├── video_samples/
├── sample_001.mp4
└── sample_002.mov
Intended Audience
This dataset may be relevant to:
- AI and machine learning researchers
- Computer vision teams
- Video analytics developers
- Robotics and embodied AI teams
- Autonomous systems researchers
- Academic institutions
- AI product development teams
- Enterprise AI and research organizations
Dataset Statistics
Dataset-specific statistics have not been confirmed.
The broader egocentric video catalogue screenshot displays the following collection-level figures:
| Catalogue metric | Displayed value |
|---|---|
| Countries covered | 11 |
| Total duration | 228,189 hours |
| Total tasks | 132 |
Notes and Limitations
- The video formats
.movand.mp4have been confirmed. - The exact narration type and storage format have not been established.
- Transcript and annotation availability has not been confirmed.
- The Parquet file's columns and relationship to the video files have not yet been inspected.
- Catalogue-level statistics and industry distributions should not be interpreted as dataset-specific figures without verification.
- No license or access terms are asserted in this README.
Summary
The Narrated Egocentric Video Dataset is an egocentric video collection in MOV and MP4 formats, with catalogue themes covering spatial reasoning, action understanding, object-level interactions, manipulation, task understanding, and agent training.
It is intended to be relevant to research and development in computer vision, video understanding, robotics, embodied AI, and intelligent agent systems.
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 9236398619
-Email: datareq@infobay.ai
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