PROJECT_INFO.md

# Video Classification Dataset - Project Information

<!--
Project: Video Classification Dataset
Author: Molla Samser
Designer & Tester: Rima Khatun
Website: https://rskworld.in
Email: help@rskworld.in, support@rskworld.in
Phone: +91 93305 39277
Organization: RSK World
-->

## Project Metadata

```php
[
'id' => 12,
'title' => 'Video Classification Dataset',
'category' => 'Video Data',
'description' => 'Video classification dataset with labeled video clips across multiple categories for video understanding and classification tasks.',
'full_description' => 'This dataset includes labeled video clips across multiple categories for video classification tasks. Perfect for video understanding, video categorization, and video deep learning applications.',
'technologies' => ['MP4', 'MOV', 'OpenCV', 'FFmpeg', 'Video'],
'difficulty' => 'Advanced',
'source_link' => './video-classification/video-classification.zip',
'demo_link' => './video-classification/',
'features' => [
'Multiple video categories',
'Labeled video clips',
'Training and test sets',
'Frame extraction available',
'Ready for video models'
],
'icon' => 'fas fa-video',
'icon_color' => 'text-secondary',
'project_image' => './video-classification/video-classification.png',
'project_image_alt' => 'Video Classification Dataset - rskworld.in'
]
```

## Project Structure

```
video-classification/
├── data/ # Dataset directories
│ ├── train/ # Training videos
│ ├── test/ # Test videos
│ └── validation/ # Validation videos
├── scripts/ # Processing scripts
│ ├── extract_frames.py # Frame extraction utility
│ ├── process_videos.py # Video processing utility
│ └── organize_dataset.py # Dataset organization utility
├── utils/ # Utility modules
│ ├── video_utils.py # Video processing functions
│ └── dataset_utils.py # Dataset management functions
├── examples/ # Example code
│ ├── classification_example.py
│ └── video_loader_example.py
├── frames/ # Extracted frames directory
├── README.md # Main documentation
├── USAGE.md # Usage guide
├── CONTRIBUTING.md # Contribution guidelines
├── LICENSE # License information
├── config.yaml # Configuration file
├── requirements.txt # Python dependencies
├── setup.py # Package setup
├── index.html # Demo page
└── .gitignore # Git ignore rules
```

## Key Features

1. **Multiple Video Categories**: Organized dataset with multiple categories
2. **Labeled Video Clips**: All videos properly labeled and categorized
3. **Training and Test Sets**: Pre-organized splits for machine learning
4. **Frame Extraction**: Built-in utilities for extracting frames
5. **Ready for Video Models**: Preprocessed and ready to use

## Technologies

- **MP4/MOV**: Video format support
- **OpenCV**: Video processing and frame extraction
- **FFmpeg**: Video encoding/decoding
- **Python**: Main programming language
- **Machine Learning**: Ready for ML models

## Usage

### Quick Start

```bash
# Install dependencies
pip install -r requirements.txt

# Organize dataset
python scripts/organize_dataset.py --input raw_videos --output data

# Extract frames
python scripts/extract_frames.py --input data/train --output frames/train
```

### Example Code

```python
from utils.video_utils import get_video_info, extract_frame
from utils.dataset_utils import get_videos_by_category

# Get video information
info = get_video_info('path/to/video.mp4')

# Extract frame
frame = extract_frame('path/to/video.mp4', frame_number=0)

# Get videos by category
videos = get_videos_by_category('data/train')
```

## Contact Information

**RSK World**
- Website: https://rskworld.in
- Email: help@rskworld.in, support@rskworld.in
- Phone: +91 93305 39277
- Founder: Molla Samser
- Designer & Tester: Rima Khatun

## License

Content used for educational purposes only. View Disclaimer at https://rskworld.in