You will get a custom computer vision model for image detection and classification
Project details
You will receive a custom computer vision solution designed for your images, videos, and business requirements. The project can include object detection, image classification, segmentation, tracking, or object counting using Python, YOLO, OpenCV, PyTorch, TensorFlow, or ONNX.
Depending on the selected package, I will review and prepare your dataset, configure or train the model, test its performance, and provide the trained model, source code, evaluation results, and setup instructions. Advanced projects can also include video processing, API integration, Docker deployment, or connection to a camera or data source.
The solution will be structured for practical use and clearly documented. Model performance depends on dataset size, image quality, annotation accuracy, class balance, hardware, and real-world operating conditions. Please provide sample data and performance requirements before work begins.
Depending on the selected package, I will review and prepare your dataset, configure or train the model, test its performance, and provide the trained model, source code, evaluation results, and setup instructions. Advanced projects can also include video processing, API integration, Docker deployment, or connection to a camera or data source.
The solution will be structured for practical use and clearly documented. Model performance depends on dataset size, image quality, annotation accuracy, class balance, hardware, and real-world operating conditions. Please provide sample data and performance requirements before work begins.
Machine Learning Tools
Keras, MATLAB, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$150
|
Standard
$400
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 4 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 3 | 5 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
About Al
AI Researcher
Edwardsville, United States - 7:58 pm local time
My skills include:
• Python, Pandas, NumPy, and scikit-learn
• Data cleaning, analysis, and feature engineering
• Classification, regression, and forecasting models
• Model evaluation and performance improvement
• Machine learning API development with FastAPI
• SQL databases and backend integration
• Workflow automation and data processing
• Deployment using Docker and containerized environments
I focus on creating reliable solutions that are easy to understand, maintain, and integrate into existing systems.
Steps for completing your project
After purchasing the project, send requirements so Al can start the project.
Delivery time starts when Al receives requirements from you.
Al works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements and dataset review
I will review your project goal, sample images or videos, labels, classes, target hardware, and required output.
Data preparation and model selection
I will prepare the dataset and select the appropriate computer vision model, framework, and configuration.