You will get Violence Detection in Video Frames using Deep Learning
Project details
Detect violence in your videos with high accuracy using advanced AI models. This service includes detailed video analysis, model validation with performance reports, and deployment guidance tailored to your specific needs. What sets me apart is my expertise in applying deep learning to real-world violence detection datasets and building scalable, practical solutions. I ensure clear documentation, professional communication, and a solution that integrates seamlessly into your workflow for security, research, or moderation purposes.
Machine Learning Tools
Keras, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SciPy, TensorFlow, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$60
|
Advanced
$100
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 2 | 4 | 6 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
Frequently asked questions
About Azaz
Python Developer with hands-on experience in AI, ML and DL
Islamabad, Pakistan - 6:30 am local time
My core skills include:
✓ Python Programming
✓ Machine Learning & Deep Learning
✓ Artificial Intelligence
✓ Computer Vision
I am passionate about solving real-world problems through intelligent systems and eager to grow as a Python Developer in a professional environment.
Steps for completing your project
After purchasing the project, send requirements so Azaz can start the project.
Delivery time starts when Azaz receives requirements from you.
Azaz works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
eview your video files, project goals, and any specific requirements shared.
Data Preparation
Preprocess and organize video data for model input (frame extraction, resizing, normalization).
