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VerboseTechLabs/electronics-assembly-egocentric-sample

๐Ÿ”Œ Electronics Assembly โ€” 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: ๐Ÿ“ž Phone: +91 7672 000 500 ๐Ÿ’ฌ WhatsApp: +91 7672 000 500 ๐Ÿ“ง Email: Hello@VerboseTechLabs.com ๐ŸŒ Website: VerboseTechLabs.com ๐Ÿ”— More datasets: kaggle.com/verbosetechlabsllp Dataset Summary First-person point-of-viewโ€ฆ See the full description on the dataset page: https://huggingface.co/datasets/VerboseTechLabs/electronics-assembly-egocentric-sample.

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๐Ÿ”Œ Electronics Assembly โ€” 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:


Dataset Summary

First-person point-of-view (POV) video recordings of electronics assembly work, captured on real electronics manufacturing floors. Videos showcase PCB assembly, component placement, soldering, and related electronics production tasks. This is a sample release showcasing the format and quality of our larger electronics manufacturing dataset collection.

Dataset Statistics

MetricValue
Total clips7
Total duration~83 minutes (~1 hour 23 minutes)
Total size~7.6 GB
Activity classelectronics_assembly
View typeEgocentric (first-person)
Video formatMP4
Frame rate30 fps
Resolution1080p

Supported Tasks

  • โ€”Video classification โ€” classify electronics assembly activities
  • โ€”Action recognition โ€” recognize electronics manufacturing actions
  • โ€”Fine-grained assembly step detection (component placement, soldering, testing)
  • โ€”Hand-object interaction โ€” tweezers, soldering irons, PCBs, components
  • โ€”Worker productivity and time-motion analysis
  • โ€”Ergonomics research for electronics assembly workers
  • โ€”Assistive robotics for electronics manufacturing lines
  • โ€”Quality control and defect detection AI training
  • โ€”Human-robot collaboration in electronics assembly
  • โ€”Industrial AI for smart electronics factories

Dataset Structure

Folder Structure

electronics-assembly-egocentric-sample/
โ”œโ”€โ”€ videos/
โ”‚   โ”œโ”€โ”€ electronics_assembly_01.mp4
โ”‚   โ”œโ”€โ”€ electronics_assembly_02.mp4
โ”‚   โ”œโ”€โ”€ electronics_assembly_03.mp4
โ”‚   โ”œโ”€โ”€ electronics_assembly_04.mp4
โ”‚   โ”œโ”€โ”€ electronics_assembly_05.mp4
โ”‚   โ”œโ”€โ”€ electronics_assembly_06.mp4
โ”‚   โ””โ”€โ”€ electronics_assembly_07.mp4
โ”œโ”€โ”€ metadata.csv
โ””โ”€โ”€ README.md

Data Fields

The metadata.csv file contains the following columns:

ColumnTypeDescription
file_namestringRelative path to the video file
clip_idstringUnique identifier (e.g., ELE_001)
activitystringMain class: electronics_assembly
sub_activitystringFine-grained label
durationstringHuman-readable duration (HH:MM:SS)
duration_secondsintegerDuration in seconds
file_size_mbfloatFile size in megabytes
recording_datedateRecording date (YYYY-MM-DD)
resolutionstringVideo resolution
fpsintegerFrames per second
view_typestringCamera view type (egocentric)
notesstringAdditional context

Clip Overview

Clip IDFileDurationSize
ELE_001electronicsassembly01.mp400:01:52171 MB
ELE_002electronicsassembly02.mp400:16:101.77 GB
ELE_003electronicsassembly03.mp400:11:10859 MB
ELE_004electronicsassembly04.mp400:16:301.37 GB
ELE_005electronicsassembly05.mp400:15:351.50 GB
ELE_006electronicsassembly06.mp400:21:521.87 GB
ELE_007electronicsassembly07.mp400:00:1099 MB

Activity Coverage

The dataset captures electronics assembly workflows including:

  • โ€”๐Ÿ”Œ PCB (Printed Circuit Board) assembly
  • โ€”๐Ÿงฒ Component placement and soldering
  • โ€”๐Ÿ”ง Manual assembly operations
  • โ€”๐Ÿ” Quality inspection during assembly
  • โ€”๐Ÿ› ๏ธ Tool usage โ€” tweezers, soldering irons, testers

Usage

Load with ๐Ÿค— datasets library

python
from datasets import load_dataset

dataset = load_dataset("verbosetechlabsllp/electronics-assembly-egocentric-sample")
print(dataset)

Load metadata directly with Pandas

python
import pandas as pd

df = pd.read_csv("hf://datasets/verbosetechlabsllp/electronics-assembly-egocentric-sample/metadata.csv")
print(df.head())
print(f"Total duration: {df['duration_seconds'].sum() / 60:.1f} minutes")

Download a specific video

python
from huggingface_hub import hf_hub_download

video_path = hf_hub_download(
    repo_id="verbosetechlabsllp/electronics-assembly-egocentric-sample",
    filename="videos/electronics_assembly_02.mp4",
    repo_type="dataset"
)
print(f"Video downloaded to: {video_path}")

Extract sample frames

python
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

  • โ€”Camera view: First-person / egocentric (head-mounted or chest-mounted)
  • โ€”Environment: Real electronics manufacturing / assembly floor
  • โ€”Lighting: Industrial workshop lighting with task illumination
  • โ€”Audio: Included in MP4 (ambient soldering, tool, and machine sounds โ€” usable for multimodal research)
  • โ€”Recording date: July 2026

Licensing Information

CC BY 4.0 โ€” Free for research and commercial use with attribution.

Citation

bibtex
@dataset{electronics_assembly_egocentric_2026,
  title  = {Electronics Assembly โ€” Egocentric Video Dataset (Sample)},
  author = {Verbose Tech Labs LLP},
  year   = {2026},
  url    = {https://huggingface.co/datasets/verbosetechlabsllp/electronics-assembly-egocentric-sample}
}

More Datasets from Verbose Tech Labs

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

  • โ€”๐Ÿ‘• Clothing industry manufacturing
  • โ€”๐Ÿณ Cooking & food preparation
  • โ€”๐Ÿงน Household cleaning tasks
  • โ€”๐Ÿญ Manufacturing unit workflows (sample)
  • โ€”๐Ÿ› ๏ธ Skilled commercial work (sample)
  • โ€”๐Ÿงต Textile manufacturing (sample)
  • โ€”๐Ÿ”Œ Electronics assembly (this โ€” sample)
  • โ€”...and more categories in development

๐Ÿ”— Browse all our datasets: kaggle.com/verbosetechlabsllp | huggingface.co/verbosetechlabsllp