VerboseTechLabs/skilled-commercial-work-egocentric-sample

🛠️ Skilled Commercial Work — 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

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Dataset Summary

First-person point-of-view (POV) video recordings of skilled commercial work across multiple trades — brick work, electrical work, metal fabrication, frame manufacturing, furniture assembly, and carpentry. This is a sample release showcasing the quality and variety of our larger skilled trades dataset collection.

Dataset Statistics

Metric	Value
Total clips	8
Total duration	100 minutes (1 hour 40 minutes)
Total size	~4.7 GB
Trade categories	6
View type	Egocentric (first-person)
Video format	MP4
Frame rate	30 fps
Resolution	1080p

Supported Tasks

• Video classification — classify skilled trade activities
• Action recognition — recognize commercial work actions
• Fine-grained skill classification — identify specific trade techniques
• Worker training — AI-powered tutorial systems
• Ergonomics research — repetitive motion analysis
• Assistive robotics — training robots for construction & workshops
• Safety monitoring — detect risky worker actions
• Vocational education — video-based curriculum content

Dataset Structure

Folder Structure

skilled-commercial-work-egocentric-sample/
├── videos/
│   ├── brick_work/
│   │   └── brick_work_01.mp4
│   ├── electrician/
│   │   ├── electrician_01.mp4
│   │   └── electrician_02.mp4
│   ├── fabrication/
│   │   ├── fabrication_01.mp4
│   │   └── fabrication_02.mp4
│   ├── frames_manufacturing/
│   │   └── frames_manufacturing_01.mp4
│   ├── furniture_assembly/
│   │   └── furniture_assembly_01.mp4
│   └── wood_work/
│       └── wood_work_01.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., SCW_001)
activity	string	Main trade category
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	Trade	Sub-activity	Duration
SCW_001	brick_work_01.mp4	brick_work	masonry_construction	00:09:00
SCW_002	electrician_01.mp4	electrician	electrical_wiring	00:42:10
SCW_003	electrician_02.mp4	electrician	electrical_wiring	00:16:34
SCW_004	fabrication_01.mp4	fabrication	metal_fabrication	00:00:30
SCW_005	fabrication_02.mp4	fabrication	metal_fabrication	00:00:30
SCW_006	frames_manufacturing_01.mp4	frames_manufacturing	frame_assembly	00:01:31
SCW_007	furniture_assembly_01.mp4	furniture_assembly	furniture_making	00:15:03
SCW_008	wood_work_01.mp4	wood_work	carpentry	00:14:16

Trade Categories

• 🧱 Brick Work — Masonry construction, bricklaying, mortar application
• ⚡ Electrician — Electrical wiring, installation, and repair work
• 🔩 Fabrication — Metal fabrication, welding preparation
• 🪟 Frames Manufacturing — Window/door frame assembly
• 🪑 Furniture Assembly — Furniture making, joinery, assembly
• 🪵 Wood Work — Carpentry and woodworking shop activities

Duration Breakdown by Trade

• Electrician — 2 clips • ~58 min (longest coverage — extensive wiring work)
• Wood Work — 1 clip • ~14 min (carpentry shop)
• Furniture Assembly — 1 clip • ~15 min (joinery work)
• Brick Work — 1 clip • ~9 min (masonry)
• Frames Manufacturing — 1 clip • ~1.5 min (sample)
• Fabrication — 2 clips • ~1 min (short samples)

Usage

Load with 🤗 datasets library

from datasets import load_dataset

dataset = load_dataset("verbosetechlabsllp/skilled-commercial-work-egocentric-sample")
print(dataset)

Load metadata directly with Pandas

import pandas as pd

df = pd.read_csv("hf://datasets/verbosetechlabsllp/skilled-commercial-work-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/skilled-commercial-work-egocentric-sample",
    filename="videos/electrician/electrician_01.mp4",
    repo_type="dataset"
)
print(f"Video downloaded to: {video_path}")

Extract sample frames

import cv2, os

def extract_frames(video_path, out_dir, every_n_seconds=10):
    os.makedirs(out_dir, exist_ok=True)
    cap = cv2.VideoCapture(video_path)
    fps = cap.get(cv2.CAP_PROP_FPS)
    frame_interval = int(fps * every_n_seconds)
    count, saved = 0, 0
    while True:
        ret, frame = cap.read()
        if not ret: break
        if count % frame_interval == 0:
            cv2.imwrite(f"{out_dir}/frame_{saved:04d}.jpg", frame)
            saved += 1
        count += 1
    cap.release()
    return saved

Data Collection

• Camera view: First-person / egocentric (head-mounted or chest-mounted)
• Environment: Real construction sites, workshops, and commercial work settings
• Lighting: Mixed natural and workshop lighting
• Audio: Included in MP4 (includes ambient tool and machine sounds — usable for multimodal research)
• Recording period: May 2026 – June 2026

Licensing Information

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

Citation

@dataset{skilled_commercial_work_egocentric_2026,
  title  = {Skilled Commercial Work — Egocentric Video Dataset (Sample)},
  author = {Verbose Tech Labs LLP},
  year   = {2026},
  url    = {https://huggingface.co/datasets/verbosetechlabsllp/skilled-commercial-work-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 (sample)
• 🛠️ Skilled commercial work (this — sample)
• ...and more categories in development

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