You will get I will build a custom computer vision object detection system using YOLO
Rising Talent

Project details
I will develop a custom AI object detection system tailored to your dataset using modern deep learning techniques and YOLO for accurate real-time detection and tracking.
This service is ideal for:
• Sports analytics
• Industrial inspection
• Smart surveillance
• Medical imaging
• Retail analytics
• Custom object tracking systems
I have hands-on experience building computer vision solutions using Python, OpenCV, PyTorch, and YOLO-based pipelines for image and video analysis.
What you will receive:
• Custom trained object detection model
• Dataset preprocessing and annotation guidance
• Model training and performance evaluation
• Image and video inference pipeline
• Detection optimization and tuning
• Clean source code and documentation
Technologies:
Python, PyTorch, OpenCV, YOLO
This service is ideal for:
• Sports analytics
• Industrial inspection
• Smart surveillance
• Medical imaging
• Retail analytics
• Custom object tracking systems
I have hands-on experience building computer vision solutions using Python, OpenCV, PyTorch, and YOLO-based pipelines for image and video analysis.
What you will receive:
• Custom trained object detection model
• Dataset preprocessing and annotation guidance
• Model training and performance evaluation
• Image and video inference pipeline
• Detection optimization and tuning
• Clean source code and documentation
Technologies:
Python, PyTorch, OpenCV, YOLO
Machine Learning Tools
Keras, MLflow, NumPy, NVIDIA AI Platform, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$80
|
Standard
$220
|
Advanced
$450
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 4 | 6 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$10 - $25
Additional Revision
+$3
Additional Model Variation
(+ 2 Days)
+$80
Additional Scenario
(+ 2 Days)
+$70
Additional Graph/Chart
+$20
Model Documentation
+$50
Data Source Connectivity
(+ 2 Days)
+$120
Video Tracking Support
(+ 1 Day)
+$180Frequently asked questions
About Omar
AI & Machine Learning | TensorFlow, Computer Vision, Machine Learning
Ajman, United Arab Emirates - 6:08 am local time
• Hands-on experience building AI-powered applications, computer vision systems, and scalable web applications
• Worked with TensorFlow and PyTorch to develop CNN-based image classification and object detection models
• Experienced in transfer learning and fine-tuning architectures such as ResNet50, Xception, and InceptionV3
• Built and fine-tuned Vision-Language Models (VLMs) and multimodal AI pipelines
• Developed full-stack applications with database integration, APIs, authentication systems, and deployment workflows
• Experience with Python, React, Next.js, and modern AI/deep learning workflows
• Contributed to an AI-driven smart classroom project integrating IoT sensors and automation concepts
• Passionate about solving real-world problems through AI and scalable software solutions
Steps for completing your project
After purchasing the project, send requirements so Omar can start the project.
Delivery time starts when Omar receives requirements from you.
Omar works on your project following the steps below.
Revisions may occur after the delivery date.
Dataset Review & Planning
Analyze the dataset, project requirements, and choose the best detection approach.
Model Development & Training
Train and optimize the YOLO detection model for your custom dataset.





