README.md

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

# 🔌 Electronics Assembly — 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 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

| Metric | Value |
|---|---|
| Total clips | 7 |
| Total duration | ~83 minutes (~1 hour 23 minutes) |
| Total size | ~7.6 GB |
| Activity class | electronics_assembly |
| View type | Egocentric (first-person) |
| Video format | MP4 |
| Frame rate | 30 fps |
| Resolution | 1080p |

## Supported Tasks

- **Video classification** — classify electronics assembly activities
- **Action recognition** — recognize electronics manufacturing actions
- **Fine-grained assembly step** detection (component placement, soldering, testing)
- **Hand-object interaction** — 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/
├── videos/
│   ├── electronics_assembly_01.mp4
│   ├── electronics_assembly_02.mp4
│   ├── electronics_assembly_03.mp4
│   ├── electronics_assembly_04.mp4
│   ├── electronics_assembly_05.mp4
│   ├── electronics_assembly_06.mp4
│   └── electronics_assembly_07.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., `ELE_001`) |
| `activity` | string | Main class: `electronics_assembly` |
| `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 |
|---|---|---|---|
| ELE_001 | electronics_assembly_01.mp4 | 00:01:52 | 171 MB |
| ELE_002 | electronics_assembly_02.mp4 | 00:16:10 | 1.77 GB |
| ELE_003 | electronics_assembly_03.mp4 | 00:11:10 | 859 MB |
| ELE_004 | electronics_assembly_04.mp4 | 00:16:30 | 1.37 GB |
| ELE_005 | electronics_assembly_05.mp4 | 00:15:35 | 1.50 GB |
| ELE_006 | electronics_assembly_06.mp4 | 00:21:52 | 1.87 GB |
| ELE_007 | electronics_assembly_07.mp4 | 00:00:10 | 99 MB |

### Activity Coverage

The dataset captures electronics assembly workflows including:
- 🔌 PCB (Printed Circuit Board) assembly
- 🧲 Component placement and soldering
- 🔧 Manual assembly operations
- 🔍 Quality inspection during assembly
- 🛠️ Tool usage — tweezers, soldering irons, testers

## Usage

### Load with 🤗 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

- **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 — usable for multimodal research)
- **Recording date**: July 2026

## Licensing Information

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

## Citation

```bibtex
@dataset{electronics_assembly_egocentric_2026,
  title  = {Electronics Assembly — 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:
- 👕 Clothing industry manufacturing
- 🍳 Cooking & food preparation
- 🧹 Household cleaning tasks
- 🏭 Manufacturing unit workflows (sample)
- 🛠️ Skilled commercial work (sample)
- 🧵 Textile manufacturing (sample)
- 🔌 Electronics assembly (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)