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README.md

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+---
+license: cc-by-4.0
+task_categories:
+  - video-classification
+  - other
+language:
+  - en
+tags:
+  - egocentric
+  - first-person-video
+  - action-recognition
+  - textile
+  - textile-manufacturing
+  - mill
+  - fabric
+  - weaving
+  - industrial
+  - computer-vision
+  - video
+pretty_name: Textile Manufacturing Egocentric Video Dataset Sample
+size_categories:
+  - n<1K
+configs:
+  - config_name: default
+    data_files:
+      - split: train
+        path: metadata.csv
+---
+
+# 🧵 Textile Manufacturing — 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](tel:+917672000500)
+- 💬 **WhatsApp:** [+91 7672 000 500](https://wa.me/917672000500)
+- 📧 **Email:** [Hello@VerboseTechLabs.com](mailto:Hello@VerboseTechLabs.com)
+- 🌐 **Website:** [VerboseTechLabs.com](https://VerboseTechLabs.com)
+- 🔗 **More datasets:** [kaggle.com/verbosetechlabsllp](https://www.kaggle.com/verbosetechlabsllp)
+
+---
+
+## 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
+
+| Metric | Value |
+|---|---|
+| Total clips | 11 |
+| Total duration | ~30.5 minutes |
+| Total size | ~1.04 GB |
+| Activity class | textile_manufacturing |
+| View type | Egocentric (first-person) |
+| Video format | MP4 |
+| Frame rate | 30 fps |
+| Resolution | 1080p |
+
+## Supported Tasks
+
+- **Video classification** — classify textile manufacturing activities
+- **Action recognition** — recognize textile industry actions
+- **Fine-grained textile activity** classification
+- **Worker productivity** and time-motion analysis
+- **Machine operation** understanding (looms, knitting machines, dyeing units)
+- **Ergonomics research** in textile industry
+- **Assistive robotics** for textile factories
+- **Quality control** AI training
+- **Industrial AI** for textile automation
+
+## Dataset Structure
+
+### Folder Structure
+
+```
+textile-manufacturing-egocentric-sample/
+├── videos/
+│   ├── textile_01.mp4
+│   ├── textile_02.mp4
+│   ├── textile_03.mp4
+│   ├── textile_04.mp4
+│   ├── textile_05.mp4
+│   ├── textile_06.mp4
+│   ├── textile_07.mp4
+│   ├── textile_08.mp4
+│   ├── textile_09.mp4
+│   ├── textile_10.mp4
+│   └── textile_11.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., `TXT_001`) |
+| `activity` | string | Main class: `textile_manufacturing` |
+| `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 |
+
+### Clip Overview
+
+| Clip ID | File | Duration | Size |
+|---|---|---|---|
+| TXT_001 | textile_01.mp4 | 00:00:30 | 24 MB |
+| TXT_002 | textile_02.mp4 | 00:03:00 | 104 MB |
+| TXT_003 | textile_03.mp4 | 00:03:00 | 104 MB |
+| TXT_004 | textile_04.mp4 | 00:03:00 | 104 MB |
+| TXT_005 | textile_05.mp4 | 00:03:00 | 104 MB |
+| TXT_006 | textile_06.mp4 | 00:03:00 | 104 MB |
+| TXT_007 | textile_07.mp4 | 00:03:00 | 104 MB |
+| TXT_008 | textile_08.mp4 | 00:03:00 | 104 MB |
+| TXT_009 | textile_09.mp4 | 00:03:00 | 104 MB |
+| TXT_010 | textile_10.mp4 | 00:03:00 | 104 MB |
+| TXT_011 | textile_11.mp4 | 00:03:00 | 104 MB |
+
+### Activity Coverage
+
+The dataset captures diverse textile manufacturing activities from real mill floors, spanning operations across the textile production pipeline — spinning, weaving, knitting, dyeing, printing, finishing, and quality control.
+
+## Usage
+
+### Load with 🤗 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
+
+- **Camera view**: First-person / egocentric (head-mounted or chest-mounted)
+- **Environment**: Real textile mill / factory floor
+- **Lighting**: Industrial factory lighting
+- **Audio**: Included in MP4 (ambient loom, machine, and worker sounds — usable for multimodal research)
+- **Recording period**: February 2025 – May 2026
+
+## Licensing Information
+
+**CC BY 4.0** — Free for research and commercial use with attribution.
+
+## Citation
+
+```bibtex
+@dataset{textile_manufacturing_egocentric_2026,
+  title  = {Textile Manufacturing — 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:
+- 👕 Clothing industry manufacturing
+- 🍳 Cooking & food preparation
+- 🧹 Household cleaning tasks
+- 🏭 Manufacturing unit workflows (sample)
+- 🛠️ Skilled commercial work (sample)
+- 🧵 Textile manufacturing (this — sample)
+- ...and more categories in development
+
+🔗 Browse all our datasets: [kaggle.com/verbosetechlabsllp](https://www.kaggle.com/verbosetechlabsllp) | [huggingface.co/verbosetechlabsllp](https://huggingface.co/verbosetechlabsllp)

metadata.csv

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+file_name,clip_id,activity,sub_activity,duration,duration_seconds,file_size_mb,recording_date,resolution,fps,view_type,notes
+videos/textile_01.mp4,TXT_001,textile_manufacturing,general_textile_work,00:00:30,30,24.40,2026-05-28,1080p,30,egocentric,Short textile manufacturing clip
+videos/textile_02.mp4,TXT_002,textile_manufacturing,general_textile_work,00:03:00,180,103.67,2025-02-18,1080p,30,egocentric,Textile manufacturing activity
+videos/textile_03.mp4,TXT_003,textile_manufacturing,general_textile_work,00:03:00,180,103.50,2025-02-18,1080p,30,egocentric,Textile manufacturing activity
+videos/textile_04.mp4,TXT_004,textile_manufacturing,general_textile_work,00:03:00,180,103.49,2025-02-18,1080p,30,egocentric,Textile manufacturing activity
+videos/textile_05.mp4,TXT_005,textile_manufacturing,general_textile_work,00:03:00,180,103.38,2025-02-18,1080p,30,egocentric,Textile manufacturing activity
+videos/textile_06.mp4,TXT_006,textile_manufacturing,general_textile_work,00:03:00,180,103.58,2025-02-18,1080p,30,egocentric,Textile manufacturing activity
+videos/textile_07.mp4,TXT_007,textile_manufacturing,general_textile_work,00:03:00,180,103.73,2025-02-18,1080p,30,egocentric,Textile manufacturing activity
+videos/textile_08.mp4,TXT_008,textile_manufacturing,general_textile_work,00:03:00,180,103.77,2025-02-18,1080p,30,egocentric,Textile manufacturing activity
+videos/textile_09.mp4,TXT_009,textile_manufacturing,general_textile_work,00:03:00,180,103.42,2025-02-18,1080p,30,egocentric,Textile manufacturing activity
+videos/textile_10.mp4,TXT_010,textile_manufacturing,general_textile_work,00:03:00,180,103.62,2025-02-18,1080p,30,egocentric,Textile manufacturing activity
+videos/textile_11.mp4,TXT_011,textile_manufacturing,general_textile_work,00:03:00,180,103.62,2025-02-18,1080p,30,egocentric,Textile manufacturing activity

textile-manufacturing-egocentric-sample.zip

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