Datasets:

VerboseTechLabs
/

manufacturing-unit-egocentric-sample

license: cc-by-4.0
task_categories:
  - video-classification
  - other
language:
  - en
tags:
  - egocentric
  - first-person-video
  - action-recognition
  - manufacturing
  - industrial
  - assembly
  - motor
  - factory
  - computer-vision
  - video
pretty_name: Manufacturing Unit Egocentric Video Dataset Sample
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: train
        path: metadata.csv

🏭 Manufacturing Unit Egocentric Video Dataset (Sample)

This dataset is part of a larger collection of egocentric activity datasets by Verbose Tech Labs LLP. If you want the full dataset, or want access to more categories? Get in touch with us:

📞 Phone: +91 7672 000 500
💬 WhatsApp: +91 7672 000 500
📧 Email: Hello@VerboseTechLabs.com
🌐 Website: VerboseTechLabs.com
🔗 More datasets: kaggle.com/verbosetechlabsllp

Dataset Summary

First-person point-of-view (POV) video recordings from a manufacturing unit, capturing key production activities including assembling, coiling, motor assembly, and machine operation. This is a sample release showcasing the quality and format of our larger manufacturing dataset collection.

Dataset Statistics

Metric	Value
Total clips	5
Total duration	~12.5 minutes
Total size	~380 MB
Activity classes	5
View type	Egocentric (first-person)
Video format	MP4
Frame rate	30 fps
Resolution	1080p

Supported Tasks

Video classification — classify manufacturing activities
Action recognition — recognize industrial worker actions
Fine-grained assembly step detection
Worker productivity and time-motion analysis
Ergonomics research — repetitive motion, posture analysis
Assistive robotics for manufacturing floors
Quality control and defect detection training
Human-robot collaboration in industrial settings

Dataset Structure

Folder Structure

manufacturing-unit-egocentric-sample/
├── videos/
│   ├── Assembling MBC 1.mp4
│   ├── Assembling.mp4
│   ├── Coiling.mp4
│   ├── Moter assembling.mp4
│   └── Working on machine.mp4
├── metadata.csv
└── README.md

Data Fields

The metadata.csv file contains the following columns:

Column	Type	Description
`file_name`	string	Relative path to the video file
`clip_id`	string	Unique identifier (e.g., `MFG_001`)
`activity`	string	Main manufacturing activity class
`sub_activity`	string	Fine-grained label
`duration`	string	Human-readable duration (HH:MM:SS)
`duration_seconds`	integer	Duration in seconds
`file_size_mb`	float	File size in megabytes
`recording_date`	date	Recording date (YYYY-MM-DD)
`resolution`	string	Video resolution
`fps`	integer	Frames per second
`view_type`	string	Camera view type (`egocentric`)
`notes`	string	Additional context

Activity Breakdown

Clip ID	File	Activity	Sub-activity	Duration
MFG_001	Assembling MBC 1.mp4	assembling	mbc_assembly	00:03:00
MFG_002	Assembling.mp4	assembling	general_assembly	00:00:30
MFG_003	Coiling.mp4	coiling	wire_coiling	00:03:00
MFG_004	Moter assembling.mp4	motor_assembling	motor_assembly	00:03:00
MFG_005	Working on machine.mp4	machine_operation	general_operation	00:03:00

Activity Categories

🔧 Assembling — General and MBC (Motor Base Component) assembly
🧵 Coiling — Copper wire coiling for motor windings
⚙️ Motor Assembling — Complete motor assembly workflow
🛠️ Machine Operation — Workers operating manufacturing machinery

Usage

Load with 🤗 datasets library

from datasets import load_dataset

dataset = load_dataset("verbosetechlabsllp/manufacturing-unit-egocentric-sample")
print(dataset)

Load metadata directly with Pandas

import pandas as pd

df = pd.read_csv("hf://datasets/verbosetechlabsllp/manufacturing-unit-egocentric-sample/metadata.csv")
print(df.head())
print(df['activity'].value_counts())

Download a specific video

from huggingface_hub import hf_hub_download

video_path = hf_hub_download(
    repo_id="verbosetechlabsllp/manufacturing-unit-egocentric-sample",
    filename="videos/Coiling.mp4",
    repo_type="dataset"
)
print(f"Video downloaded to: {video_path}")

Data Collection

Camera view: First-person / egocentric (head-mounted or chest-mounted)
Environment: Real manufacturing unit / factory floor
Lighting: Industrial factory lighting
Audio: Included in MP4 (includes ambient machine sounds — usable for multimodal research)
Recording date: May 2026

Licensing Information

CC BY 4.0 — Free for research and commercial use with attribution.

Citation

@dataset{manufacturing_unit_egocentric_2026,
  title  = {Manufacturing Unit Egocentric Video Dataset (Sample)},
  author = {Verbose Tech Labs LLP},
  year   = {2026},
  url    = {https://huggingface.co/datasets/verbosetechlabsllp/manufacturing-unit-egocentric-sample}
}

More Datasets from Verbose Tech Labs

This dataset is part of a larger collection of egocentric activity datasets covering:

👕 Clothing industry manufacturing
🍳 Cooking & food preparation
🧹 Household cleaning tasks
🏭 Manufacturing unit workflows (this — sample)
...and more categories in development

🔗 Browse all our datasets: kaggle.com/verbosetechlabsllp | huggingface.co/verbosetechlabsllp