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VerboseTechLabs/textile-manufacturing-egocentric-sample

๐Ÿงต Textile Manufacturing 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/textile-manufacturing-egocentric-sample.

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๐Ÿงต Textile Manufacturing 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 from textile manufacturing operations, captured on real factory floors. This is a sample release showcasing the format and quality of our larger textile industry dataset collection.

Dataset Statistics

MetricValue
Total clips11
Total duration~30.5 minutes
Total size~1.04 GB
Activity classtextile_manufacturing
View typeEgocentric (first-person)
Video formatMP4
Frame rate30 fps
Resolution1080p

Supported Tasks

  • โ€”Video classification โ€” classify textile manufacturing activities
  • โ€”Action recognition โ€” recognize textile industry actions
  • โ€”Fine-grained textile activity classification
  • โ€”Worker productivity and time-motion analysis
  • โ€”Machine operation understanding (looms, knitting machines, dyeing units)
  • โ€”Ergonomics research in textile industry
  • โ€”Assistive robotics for textile factories
  • โ€”Quality control AI training
  • โ€”Industrial AI for textile automation

Dataset Structure

Folder Structure

textile-manufacturing-egocentric-sample/
โ”œโ”€โ”€ videos/
โ”‚   โ”œโ”€โ”€ textile_01.mp4
โ”‚   โ”œโ”€โ”€ textile_02.mp4
โ”‚   โ”œโ”€โ”€ textile_03.mp4
โ”‚   โ”œโ”€โ”€ textile_04.mp4
โ”‚   โ”œโ”€โ”€ textile_05.mp4
โ”‚   โ”œโ”€โ”€ textile_06.mp4
โ”‚   โ”œโ”€โ”€ textile_07.mp4
โ”‚   โ”œโ”€โ”€ textile_08.mp4
โ”‚   โ”œโ”€โ”€ textile_09.mp4
โ”‚   โ”œโ”€โ”€ textile_10.mp4
โ”‚   โ””โ”€โ”€ textile_11.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., TXT_001)
activitystringMain class: textile_manufacturing
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
TXT_001textile_01.mp400:00:3024 MB
TXT_002textile_02.mp400:03:00104 MB
TXT_003textile_03.mp400:03:00104 MB
TXT_004textile_04.mp400:03:00104 MB
TXT_005textile_05.mp400:03:00104 MB
TXT_006textile_06.mp400:03:00104 MB
TXT_007textile_07.mp400:03:00104 MB
TXT_008textile_08.mp400:03:00104 MB
TXT_009textile_09.mp400:03:00104 MB
TXT_010textile_10.mp400:03:00104 MB
TXT_011textile_11.mp400:03:00104 MB

Activity Coverage

The dataset captures diverse textile manufacturing activities from real mill floors, spanning operations across the textile production pipeline โ€” spinning, weaving, knitting, dyeing, printing, finishing, and quality control.

Usage

Load with ๐Ÿค— datasets library

python
from datasets import load_dataset

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

Load metadata directly with Pandas

python
import pandas as pd

df = pd.read_csv("hf://datasets/verbosetechlabsllp/textile-manufacturing-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/textile-manufacturing-egocentric-sample",
    filename="videos/textile_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=5):
    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 textile mill / factory floor
  • โ€”Lighting: Industrial factory lighting
  • โ€”Audio: Included in MP4 (ambient loom, machine, and worker sounds โ€” usable for multimodal research)
  • โ€”Recording period: February 2025 โ€“ May 2026

Licensing Information

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

Citation

bibtex
@dataset{textile_manufacturing_egocentric_2026,
  title  = {Textile Manufacturing โ€” Egocentric Video Dataset (Sample)},
  author = {Verbose Tech Labs LLP},
  year   = {2026},
  url    = {https://huggingface.co/datasets/verbosetechlabsllp/textile-manufacturing-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 (this โ€” sample)
  • โ€”...and more categories in development

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