InfoBayAI/Annotated_Egocentric_Dataset

Annotated Egocentric Video Dataset

Overview

The Annotated Egocentric Video Dataset is a collection of first-person videos with activity and action annotations across multiple industry sectors. The dataset provides video data for organizations, researchers, and developers working on artificial intelligence (AI), machine learning (ML), computer vision, robotics, industrial AI, and video analytics.

According to the available dataset statistics, the collection covers 11 countries, represents 132 tasks, and contains 228,189 total hours of video duration. Its geographic and industry coverage spans a range of environments, including manufacturing, food services, automotive operations, retail, logistics, and other sectors.

The dataset is intended for teams exploring first-person video understanding and activity-focused computer vision applications. Publicly available samples can help prospective users evaluate the dataset before determining whether it meets their requirements.

Dataset Highlights

• 228,189 total hours of reported video duration.
• 11 countries represented in the geographic distribution.
• 132 tasks reported in the dataset overview.
• Multiple industry sectors, including manufacturing, automotive, food services, retail, construction, and logistics.
• First-person video content with activity/action labels.
• MP4 video format, as confirmed for the dataset.
• Publicly available samples for initial inspection.
• Relevant to AI/ML research, computer vision, robotics, industrial AI, and video analytics.

Dataset Features

• Data modality: First-person (egocentric) video.
• Video format: MP4.
• Annotation type: Activity/action labels.
• Geographic coverage: 11 countries, as reported in the dataset overview.
• Task coverage: 132 tasks, as reported in the dataset overview.
• Industry coverage: Multiple industry sectors, as detailed above.
• Sample availability: Publicly available samples.

Sample Record

The following is a conceptual representation of a dataset entry, not an actual record extracted from the dataset.

{
  "video_file": "example_video.mp4",
  "video_format": "MP4",
  "annotation_type": "activity/action label",
  "activity_label": "<label from the actual dataset>"
}

AI Tasks Supported

The dataset's confirmed content—first-person video with activity/action labels—may be relevant to research and development involving:

• Egocentric video understanding.
• Human activity and action recognition.
• First-person video analysis.
• Video-based machine learning.
• Computer vision research.
• Robotics and embodied AI research.
• Industrial video analytics.

Applications

Potential uses include:

• AI/ML research: Exploring models that learn from first-person video and activity labels.
• Computer vision: Developing and evaluating video-understanding approaches.
• Robotics: Investigating visual perception in human-centered or task-oriented environments.
• Manufacturing AI: Researching activity recognition and video analysis in industrial settings.
• Video analytics: Exploring automated analysis of recorded activities.
• Academic research: Studying first-person video and activity recognition across different environments.

Industries

The dataset's reported industry coverage includes:

• General manufacturing, metalworking, and plastics.
• Manufacturing facilities and factory operations.
• Food service, culinary, and domestic services.
• Automotive, repair, and retail operations.
• Textile, apparel, and accessories manufacturing.
• Food preparation and kitchen support.
• Electronic components, batteries, and PCB assembly.
• Construction, facilities management, and trades.
• Packaging, logistics, and warehousing.
• Retail and customer service.
• Agriculture, landscaping, and miscellaneous activities.
• Additional sectors listed in the industry distribution table.

Dataset Statistics

Statistic	Reported Value
Total video duration	228,189 hours
Confirmed video format	MP4
Annotation category	Activity/action labels
Public samples	Available

Advantages

• Large reported total video duration.
• Geographic coverage spanning 11 countries.
• Representation across multiple industry sectors.
• Activity/action annotations associated with first-person video.
• Potential relevance to research, industrial AI, robotics, and computer vision.
• Publicly available samples for initial review.

Intended Audience

This dataset may be relevant to:

• AI and machine learning researchers.
• Computer vision and video-understanding teams.
• Robotics and embodied AI developers.
• Manufacturing and industrial AI teams.
• Academic institutions.
• Video analytics developers.
• Enterprise organizations evaluating first-person video data for research or development.

Data Access and Licensing

Publicly available samples are reported to be available. The access conditions for the complete dataset have not been confirmed.

Summary

The Annotated Egocentric Video Dataset is a reported 228,189-hour collection of first-person video spanning 11 countries and 132 tasks, with activity/action labels and coverage across multiple industry sectors. It may be relevant to AI/ML research, computer vision, robotics, manufacturing AI, and video analytics.

For prospective users, the public samples and geographic and industry summaries provide an initial basis for evaluating the collection. Further technical documentation and confirmed licensing terms will be needed to assess suitability for specific research or commercial use cases.

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