You will get custom YOLO object detection and tracking model deployment
Project details
You will get a high-performance, custom-trained computer vision and tracking system built with YOLO /SSD or transformers and OpenCV, optimized for speed and accuracy.
As a specialized Computer Vision and Deep Learning engineer, I do more than just write standard scripts—I deliver production-ready AI solutions tailored to your unique problem. Whether you need object detection, high-speed motion tracking, image segmentation, or advanced feature extraction, I handle the full pipeline.
No dataset? No problem. If a relevant dataset does not exist for your project, I will personally research, scrape, and compile a high-quality dataset to train your model. Beyond standard object tracking, I can implement and adapt custom deep learning models for complex visual recognition tasks.
Every delivery includes fully optimized source code, clean documentation, and standard edge/cloud performance validation to ensure maximum accuracy and real-time processing speed. Let's transform your visual data into automated intelligence.
As a specialized Computer Vision and Deep Learning engineer, I do more than just write standard scripts—I deliver production-ready AI solutions tailored to your unique problem. Whether you need object detection, high-speed motion tracking, image segmentation, or advanced feature extraction, I handle the full pipeline.
No dataset? No problem. If a relevant dataset does not exist for your project, I will personally research, scrape, and compile a high-quality dataset to train your model. Beyond standard object tracking, I can implement and adapt custom deep learning models for complex visual recognition tasks.
Every delivery includes fully optimized source code, clean documentation, and standard edge/cloud performance validation to ensure maximum accuracy and real-time processing speed. Let's transform your visual data into automated intelligence.
Machine Learning Tools
GitHub Copilot, Google Data Studio, Keras, NumPy, NVIDIA AI Platform, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$50
|
Standard
$100
|
Advanced
$180
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 5 days |
Number of Revisions | 1 | 3 | 8 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 1 | 1 |
Number of Graphs/Charts | 1 | 1 | 3 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$10
Additional Model Variation
(+ 2 Days)
+$20
Additional Graph/Chart
(+ 1 Day)
+$10
Model Documentation
(+ 1 Day)
+$10
full-stack web app with deployment using docker
(+ 6 Days)
+$450About Younes
Data Science
Rabat, Morocco - 6:52 am local time
I have strong experience in:
• **Machine Learning & Deep Learning** – designing, training, and optimizing models for classification, detection, and prediction tasks
• **Computer Vision** – face recognition, object detection (YOLO), image similarity, and video analysis
• **AI-Powered Web Applications** – building end-to-end systems using modern frameworks (such as FastAPI), including authentication, APIs, and real-time processing
• **Data Science** – data preprocessing, feature engineering, and performance evaluation
• **Model Deployment** – integrating AI models into production systems with efficient pipelines
I have worked on projects involving:
* Face recognition and verification systems using deep learning
* Real-time object detection in images and videos
* AI systems that combine visual and audio embeddings
* Backend systems that manage user data, predictions, and history tracking
I focus on delivering solutions that are not only accurate, but also efficient, scalable, and ready for real-world use.
I am always open to challenging projects in AI, computer vision, and data science where I can bring value through innovation and technical expertise.
Steps for completing your project
After purchasing the project, send requirements so Younes can start the project.
Delivery time starts when Younes receives requirements from you.
Younes works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset Acquisition & Environment Setup
I will analyze your requirements and data. If a dataset does not exist, I will research, scrape, or source relevant data before configuring the YOLO/OpenCV environment
Model Training & Custom Architecture
I will train YOLO or develop custom deep learning models (segmentation, classification, or motion tracking) tailored to your specific computer vision problem