RSK World - Surveillance Video Dataset | Security Camera | Video Processing | OpenCV | YOLO | Anomaly Detection | RSK World

Surveillance Video Person Detection Anomaly Detection OpenCV Python YOLO & Video Processing

This project features a comprehensive Surveillance Video Dataset designed for professional security monitoring, activity recognition, and video surveillance applications. The dataset includes security camera footage with activity labels, person detection, and anomaly events. Includes powerful Python scripts: examples for video processing, OpenCV, YOLO detection, anomaly detection, frame extraction, interactive demo, and complete documentation. Also includes interactive demo website. The package includes interactive demo website, comprehensive README.md, and MIT License. Perfect for security researchers, data scientists, students, and developers working on surveillance systems, activity recognition, and video analysis projects.

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Dataset Overview

Complete Surveillance Video Dataset with security camera footage, activity labels, person detection, and anomaly events for security monitoring, activity recognition, and video surveillance applications.

Security camera footage - High-quality surveillance video recordings
Activity labels - Comprehensive activity annotations for video analysis
Person detection - Pre-labeled person detection data with bounding boxes
Anomaly events - Marked anomaly detection events with timestamps
MP4 format - Standard MP4 video format for high-quality processing
AVI support - AVI format for compatibility with various tools
Ready for surveillance AI - Optimized for AI model training
Multiple Python scripts included for OpenCV, YOLO detection, anomaly detection
Perfect for security monitoring, activity recognition, and video surveillance applications

Dataset Structure & Files

Well-organized project structure with surveillance videos, Python scripts for video processing, OpenCV, YOLO detection, anomaly detection, and interactive demo.

videos/ - Surveillance video files directory
videos/sample.mp4 - Main sample surveillance video
videos/sample2.mp4 - Secondary sample video
annotations/annotations.json - Activity annotations in JSON format
annotations/person_detections.json - Person detection data
annotations/anomalies.json - Anomaly events data
process_video.py - Basic video processing script
detect_persons.py - Person detection script
detect_anomalies.py - Anomaly detection script
extract_frames.py - Frame extraction script
api_server.py - Flask REST API server
batch_processor.py - Batch processing system
train_ml_model.py - ML model training script
index.html - Interactive demo website
README.md - Comprehensive project documentation
requirements.txt - Python dependencies (opencv, numpy, ultralytics)
LICENSE - MIT License file
Consistent directory structure with video-based organization
Easy to load with Python scripts
Organized structure (videos, annotations, frames, output, config)
Video-based organization with metadata and annotations
Visualization with video frame support
Complete preprocessing pipeline ready for surveillance AI models

Video Processing & Detection

Complete video processing pipeline with support for OpenCV, YOLO detection, anomaly detection, frame extraction, and advanced surveillance features.

OpenCV Processing - Use OpenCV for video feature extraction and processing
NumPy Arrays - Use NumPy for numerical video frame processing
YOLO Detection - YOLO models for person and object detection
Person Detection - Detect and track persons in surveillance videos
Anomaly Detection - Identify unusual events and activities
Video Processing - Load, process, and analyze surveillance videos
Frame Extraction - Extract frames at specified intervals
Video Quality Assessment - Automatic quality scoring and validation
Batch Processing - Process multiple video files efficiently
Model Training - Train custom YOLO and anomaly detection models
Model Evaluation - Evaluate detection model performance
Error Handling - Comprehensive error checking and informative messages
Surveillance Ready - Preprocessed data for surveillance AI models
Visualization Tools - Display video frames with detection overlays
Multiple Models - Support for YOLO, custom CNNs, and other architectures
Data Export - Export detection results and model predictions
Performance Optimized - Efficient batch operations and memory management

Video Formats & Compatibility

Dataset available in standard video formats (MP4, AVI) for maximum compatibility with video processing libraries and surveillance systems.

MP4 format - Standard MP4 format for high-quality video
AVI format - AVI format for compatibility with various tools
Optimal resolutions - 640x480, 1920x1080 for surveillance models
NumPy array compatible - Easy conversion to numpy arrays for frame processing
Pandas ready - Direct loading with pandas DataFrame for metadata
TensorFlow/PyTorch ready - Can be converted for video deep learning models
Standard video formats - Widely supported MP4, AVI formats
Easy to import and process - Simple data loading functions
Compatible with all video libraries - Universal format support
Jupyter Notebook ready - Perfect for interactive video analysis
Python video processing ready - Native opencv, numpy, ultralytics support
OpenCV ready - Compatible with OpenCV and other video libraries
Video tools ready - Compatible with opencv-python, ffmpeg, imageio
API integration ready - JSON format for video processing results
Data validation support - Easy to validate video quality and format
Surveillance ready - Compatible with YOLO, custom models, and other architectures
Real-time processing ready - Real-time video analysis support

Analysis & Visualization

Comprehensive video visualization tools with interactive viewer and analysis capabilities.

Interactive Video Viewer - Video display with frame-by-frame visualization
Multiple Video Display - View surveillance videos from different cameras
Video gallery - Browse through surveillance videos by camera or date
Frame visualization - Display video frames with detection overlays
Detection comparison - Compare multiple detection results side-by-side
Anomaly results visualization - Display anomaly detection results with timestamps
Video visualization - Show video frames with bounding boxes and labels
Activity-based filtering - Filter videos by activity type or anomaly
Video metadata display - Show camera, timestamp, duration, and detection information
Detection quality highlighting - Highlight detection confidence metrics
Dataset statistics - Comprehensive summary of video dataset
Interactive video viewer - Browse, search, and navigate surveillance videos
Activity distribution charts - Visualize activity type frequencies
Detection quality assessment - Display detection confidence metrics
Anomaly distribution - Show anomaly event distribution over time
Video preview grid - Grid view of surveillance videos by camera
Export functionality - Download detection results and model predictions
Responsive design - Works on desktop, tablet, and mobile devices

Compatible Frameworks

Works with all major video processing and detection frameworks out of the box.

Detection Models - YOLO, Faster R-CNN, SSD for object and person detection
Deep Learning Models - CNN-based models for activity recognition
Deep Learning - TensorFlow, PyTorch, Keras compatibility
OpenCV Video Processing - Video feature extraction and analysis
Video Processing - OpenCV, FFmpeg for video processing
NumPy numerical computing - Array operations for video frames
Video processing - Feature extraction, augmentation, and preprocessing
matplotlib visualization - Static visualization and plots
Video Analysis - Video feature analysis and processing
OpenCV library - Video and image processing support
Flask REST API - Web API server for video services
Detection frameworks - Compatible with YOLO, TensorFlow, PyTorch
Jupyter Notebook support - Interactive video analysis
Google Colab ready - Works in cloud-based notebooks
VS Code integration - Python extension support
PyCharm compatible - Full IDE support
Custom models - Custom models for surveillance and detection
Video tools - Person detection and anomaly detection support
Transfer learning ready - Pre-trained YOLO and detection models
Real-time processing - Real-time video analysis support
REST APIs - HTTP API for video processing services

What You Get

Complete package with all files needed for professional surveillance systems, video analysis, and security monitoring projects.

Surveillance videos - High-quality security camera footage
Video data - Surveillance videos organized with metadata
Activity annotations - Accurate activity labels aligned with video timestamps
Python video scripts - Complete surveillance video processing system
process_video.py - Video processing script
detect_persons.py - Person detection script
detect_anomalies.py - Anomaly detection script
extract_frames.py - Frame extraction script
Organized directory structure - Separate folders for videos, annotations, frames, output, config
index.html - Interactive demo website
Multiple video formats - MP4, AVI formats supported
Complete documentation - README.md, comprehensive guides
Documentation files - Comprehensive guides and project information
requirements.txt - All Python dependencies listed and versioned (opencv, numpy, ultralytics)
LICENSE - MIT License (free for commercial and non-commercial use)
Ready-to-use code examples - Copy and run scripts immediately
Video-based organization - Data organized with metadata and annotations
Surveillance pipeline - Ready-to-use video processing and detection functions
Visualization tools - Interactive video viewer
Surveillance ready - Preprocessed data for surveillance AI model training

Interactive Demo Website

Beautiful demo website with video explorer, analytics dashboard, and comprehensive guide.

Modern animated design - Smooth transitions and visual effects
Interactive Video Explorer - Browse and view surveillance videos
Analytics Dashboard - Display video analytics with charts and statistics
Video Viewer - Browse, search, and navigate surveillance videos
Detection Metrics - Visual representation of person detection results
Filter by activity - Filter videos by activity type or anomaly
Video visualization - Display video frames with detection overlays
Activity distribution - Activity-based breakdown
Dataset statistics display - Total videos, detections, anomalies, hours
Interactive video display - Click to play and view full video details
Step-by-step usage guide - Comprehensive instructions
Dark theme with gradients - Modern, professional appearance
Fully responsive layout - Mobile, tablet, and desktop support
Data export options - Download detection results and model predictions
Python scripts download - Access to all video processing and detection scripts
Interactive filters - Filter by activity, anomaly, timestamp
Video detail view - Individual video display with metadata and annotations
Statistics summary - Quick overview of dataset metrics
No backend required - Pure HTML, CSS, JavaScript
Cross-browser compatible - Works on Chrome, Firefox, Safari, Edge

Python Scripts Included

Professional Python scripts for video processing, person detection, anomaly detection, preprocessing, visualization, and advanced surveillance features.

process_video.py - Comprehensive video processing script
detect_persons.py - Person detection script using YOLO
detect_anomalies.py - Anomaly detection script
extract_frames.py - Frame extraction script
batch_processor.py - Batch processing system
train_ml_model.py - ML model training script
video_quality_analyzer.py - Video quality analysis script
Video processing functions - Load, process, and analyze surveillance videos
Detection functions - Extract person detections, bounding boxes, confidence scores
Anomaly detection functions - Identify unusual events and activities
OpenCV functions - Use OpenCV for video feature extraction
NumPy functions - Use NumPy for numerical video frame processing
YOLO model functions - YOLO for person and object detection
Frame extraction functions - Extract frames at specified intervals
Video quality assessment functions - Quality scoring and validation
Batch processing support - Process multiple video files efficiently
Model evaluation functions - Evaluate detection model performance
Dataset verification - Video format checking, validation, and quality assessment
Export functionality - Export detection results and model predictions
Error handling - Comprehensive error checking and informative messages
Code comments and documentation - Well-documented code for learning
Complete code examples - Ready-to-run scripts with examples
Modular design - Reusable functions for different video tasks
Best practices - Follows Python coding standards (PEP 8)
Real-time video analysis - Real-time surveillance support

Dataset Features

Comprehensive Surveillance Video Dataset with security camera footage for security monitoring, activity recognition, and video surveillance applications.

Multiple Videos - Diverse surveillance videos from different cameras and scenarios
High-quality Footage - High-quality security camera recordings
Video Formats - MP4, AVI formats for high-quality processing
Standard Formats - Standard video formats for surveillance compatibility
Data Formats - MP4, AVI, JSON, TXT formats supported
Organized Structure - Separate folders for videos, annotations, frames, output, config
Multiple Data Types - Video files, metadata, annotations, detections
Video Organization - Videos organized with metadata and annotations
High-quality Data - Clean, validated, and consistent video recordings
Complete Dataset - Video files with corresponding metadata and annotations
Ready for surveillance AI training - Preprocessed data for surveillance AI model training
Surveillance Ready - Pre-labeled data for detection and recognition tasks
Video utilities - Pre-built video processing functions
Easy to extend dataset - Add more videos or annotations
Organized project structure - Clear directory organization
Video-based organization - Separate folders for videos and annotations
Metadata annotations - Structured video and activity information
Video metadata - Camera, timestamp, duration, and detection information
Video standards - Follows surveillance and video processing best practices
Sample data included - Sample surveillance videos and annotations
Production ready - Tested and verified surveillance video system