First-Person Perspective Operational Video Dataset

#action recognition #video understanding #behavior prediction #visual scene analysis #laboratory experiment recording #scientific operation analysis #educational video development #human-computer interaction research
  • 500 records
  • 1.5G
  • MP4
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

Recording and analyzing information in the field of scientific research has always been a challenge. Current research video datasets on the market are mainly limited to third-person perspectives and lack first-person perspective videos that capture operator details and key points of operation, posing difficulties for recording and analyzing complex operations. To fill this gap, the First-Person Perspective Operational Video Dataset is focused on providing high-quality video material to improve action recognition and video understanding applications. The dataset was built using the latest shooting equipment, including head-mounted cameras and high-resolution video recorders, to collect multi-angle operational videos in a laboratory environment. Through multiple rounds of annotation, review by experienced researchers, and strict consistency checks, this dataset ensures high accuracy and high consistency. The professional annotation team is composed of experts in the field of information science and video processing, with a total number exceeding 50 people. During the data preprocessing, advanced video compression and enhancement technologies were adopted to ensure a balance between video quality and storage efficiency, and finally stored in MP4 format, organized by operation type and level of difficulty.

Dataset Insights

Sample Examples

43a2d4ae**.mp4|576*1024|3.56 MB

2af2a1c9**.mp4|576*1024|5.35 MB

Technical Specifications

FieldTypeDescription
file_namestringFile name
durationstringDuration
qualitystringResolution
scene_typestringThe type of scene depicted in the video, such as laboratory or outdoor.
action_recognitionstringThe main actions in the video that need to be recognized, such as mixing, pouring, stirring, etc.
object_countintegerThe number of different objects present in the video.
primary_objectstringThe main object of focus in the video, such as beaker, test tube, etc.
video_qualitystringThe quality rating of the video, such as high definition or standard definition.
light_conditionstringThe lighting conditions during the video capture, such as bright or dim.
camera_movementstringThe movement of the camera in the video, such as fixed or panning.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the First-Person Perspective Operations Video Dataset?
The First-Person Perspective Operations Video Dataset is a collection of high-quality first-person perspective operational videos used for video understanding training in the scientific research field.
What video understanding tasks is this dataset suitable for?
This dataset is suitable for various video understanding tasks, including action recognition, event detection, and content analysis.
What are the research advantages of using this dataset?
Using this dataset for research can enhance understanding of first-person perspective operational videos, aiding in the development of more precise computer vision algorithms.
What are the applications of the First-Person Perspective Operations Video Dataset in scientific research?
In scientific research, this dataset can be used for developing operation analysis systems, human-computer interaction research, and smart laboratory construction, among other applications.
How is the quality of this dataset assessed?
This dataset is highly regarded in the scientific research community for its high-quality video data and precise operational labels.

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Cite this Work

@dataset{Mobiusi2026,
  title={First-Person Perspective Operational Video Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/7379c40a5cd33b99b6e5c74d2342bec7?dataset_scene_id=20},
  urldate={2026-02-04},
  keywords={first-person perspective video dataset, video understanding, action recognition, research video, video annotation},
  version={1.0}
}

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