---
license: cc-by-4.0
task_categories:
  - video-classification
  - other
language:
  - en
tags:
  - egocentric
  - first-person-video
  - action-recognition
  - manufacturing
  - industrial
  - assembly
  - motor
  - factory
  - computer-vision
  - video
pretty_name: Manufacturing Unit Egocentric Video Dataset Sample
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: train
        path: metadata.csv
---

# 🏭 Manufacturing Unit 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 a manufacturing unit, capturing key production activities including **assembling, coiling, motor assembly, and machine operation**. This is a **sample release** showcasing the quality and format of our larger manufacturing dataset collection.

## Dataset Statistics

| Metric | Value |
|---|---|
| Total clips | 5 |
| Total duration | ~12.5 minutes |
| Total size | ~380 MB |
| Activity classes | 5 |
| View type | Egocentric (first-person) |
| Video format | MP4 |
| Frame rate | 30 fps |
| Resolution | 1080p |

## Supported Tasks

- **Video classification** — classify manufacturing activities
- **Action recognition** — recognize industrial worker actions
- **Fine-grained assembly step** detection
- **Worker productivity** and time-motion analysis
- **Ergonomics research** — repetitive motion, posture analysis
- **Assistive robotics** for manufacturing floors
- **Quality control** and defect detection training
- **Human-robot collaboration** in industrial settings

## Dataset Structure

### Folder Structure

```
manufacturing-unit-egocentric-sample/
├── videos/
│   ├── Assembling MBC 1.mp4
│   ├── Assembling.mp4
│   ├── Coiling.mp4
│   ├── Moter assembling.mp4
│   └── Working on machine.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., `MFG_001`) |
| `activity` | string | Main manufacturing activity class |
| `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 | Activity | Sub-activity | Duration |
|---|---|---|---|---|
| MFG_001 | Assembling MBC 1.mp4 | assembling | mbc_assembly | 00:03:00 |
| MFG_002 | Assembling.mp4 | assembling | general_assembly | 00:00:30 |
| MFG_003 | Coiling.mp4 | coiling | wire_coiling | 00:03:00 |
| MFG_004 | Moter assembling.mp4 | motor_assembling | motor_assembly | 00:03:00 |
| MFG_005 | Working on machine.mp4 | machine_operation | general_operation | 00:03:00 |

### Activity Categories

- 🔧 **Assembling** — General and MBC (Motor Base Component) assembly
- 🧵 **Coiling** — Copper wire coiling for motor windings
- ⚙️ **Motor Assembling** — Complete motor assembly workflow
- 🛠️ **Machine Operation** — Workers operating manufacturing machinery

## Usage

### Load with 🤗 datasets library

```python
from datasets import load_dataset

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

### Load metadata directly with Pandas

```python
import pandas as pd

df = pd.read_csv("hf://datasets/verbosetechlabsllp/manufacturing-unit-egocentric-sample/metadata.csv")
print(df.head())
print(df['activity'].value_counts())
```

### Download a specific video

```python
from huggingface_hub import hf_hub_download

video_path = hf_hub_download(
    repo_id="verbosetechlabsllp/manufacturing-unit-egocentric-sample",
    filename="videos/Coiling.mp4",
    repo_type="dataset"
)
print(f"Video downloaded to: {video_path}")
```

## Data Collection

- **Camera view**: First-person / egocentric (head-mounted or chest-mounted)
- **Environment**: Real manufacturing unit / factory floor
- **Lighting**: Industrial factory lighting
- **Audio**: Included in MP4 (includes ambient machine sounds — usable for multimodal research)
- **Recording date**: May 2026

## Licensing Information

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

## Citation

```bibtex
@dataset{manufacturing_unit_egocentric_2026,
  title  = {Manufacturing Unit Egocentric Video Dataset (Sample)},
  author = {Verbose Tech Labs LLP},
  year   = {2026},
  url    = {https://huggingface.co/datasets/verbosetechlabsllp/manufacturing-unit-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 (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)