VerboseTechLabs/electronics-assembly-egocentric-sample
๐ 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: ๐ Phone: +91 7672 000 500 ๐ฌ WhatsApp: +91 7672 000 500 ๐ง Email: Hello@VerboseTechLabs.com ๐ Website: VerboseTechLabs.com ๐ More datasets: kaggle.com/verbosetechlabsllp Dataset Summary First-person point-of-viewโฆ See the full description on the dataset page: https://huggingface.co/datasets/VerboseTechLabs/electronics-assembly-egocentric-sample.
๐ 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:
- ๐ Phone: +91 7672 000 500
- ๐ฌ WhatsApp: +91 7672 000 500
- ๐ง Email: Hello@VerboseTechLabs.com
- ๐ Website: VerboseTechLabs.com
- ๐ More datasets: kaggle.com/verbosetechlabsllp
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
Supported Tasks
- Video classification โ classify electronics assembly activities
- Action recognition โ recognize electronics manufacturing actions
- Fine-grained assembly step detection (component placement, soldering, testing)
- Hand-object interaction โ tweezers, soldering irons, PCBs, components
- Worker productivity and time-motion analysis
- Ergonomics research for electronics assembly workers
- Assistive robotics for electronics manufacturing lines
- Quality control and defect detection AI training
- Human-robot collaboration in electronics assembly
- Industrial AI for smart electronics factories
Dataset Structure
Folder Structure
electronics-assembly-egocentric-sample/
โโโ videos/
โ โโโ electronics_assembly_01.mp4
โ โโโ electronics_assembly_02.mp4
โ โโโ electronics_assembly_03.mp4
โ โโโ electronics_assembly_04.mp4
โ โโโ electronics_assembly_05.mp4
โ โโโ electronics_assembly_06.mp4
โ โโโ electronics_assembly_07.mp4
โโโ metadata.csv
โโโ README.mdData Fields
The metadata.csv file contains the following columns:
Clip Overview
Activity Coverage
The dataset captures electronics assembly workflows including:
- ๐ PCB (Printed Circuit Board) assembly
- ๐งฒ Component placement and soldering
- ๐ง Manual assembly operations
- ๐ Quality inspection during assembly
- ๐ ๏ธ Tool usage โ tweezers, soldering irons, testers
Usage
Load with ๐ค datasets library
from datasets import load_dataset
dataset = load_dataset("verbosetechlabsllp/electronics-assembly-egocentric-sample")
print(dataset)Load metadata directly with Pandas
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
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
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 savedData Collection
- Camera view: First-person / egocentric (head-mounted or chest-mounted)
- Environment: Real electronics manufacturing / assembly floor
- Lighting: Industrial workshop lighting with task illumination
- Audio: Included in MP4 (ambient soldering, tool, and machine sounds โ usable for multimodal research)
- Recording date: July 2026
Licensing Information
CC BY 4.0 โ Free for research and commercial use with attribution.
Citation
@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:
- ๐ Clothing industry manufacturing
- ๐ณ Cooking & food preparation
- ๐งน Household cleaning tasks
- ๐ญ Manufacturing unit workflows (sample)
- ๐ ๏ธ Skilled commercial work (sample)
- ๐งต Textile manufacturing (sample)
- ๐ Electronics assembly (this โ sample)
- ...and more categories in development
๐ Browse all our datasets: kaggle.com/verbosetechlabsllp | huggingface.co/verbosetechlabsllp
