You will get Commercially Licensed Custom Object Detection Model - State of the Art


Project details
We offer custom object detection models trained on custom datasets for various industries. Our experienced team of data scientists and machine learning experts use state-of-the-art technology to create accurate and reliable models that can identify objects in a wide range of scenarios.
We will produce a state-of-the-art custom object detection model, exported to ONNX format or any other, that has licensing ready to use in commercial projects. We can additionally integrate that model in web apps or desktop application.
We work closely with our clients to develop a custom solution that meets their specific needs, and we employ testing and validation methods to ensure the accuracy and efficiency of our models. We are committed to delivering quality solutions that provide value to our clients.
We will produce a state-of-the-art custom object detection model, exported to ONNX format or any other, that has licensing ready to use in commercial projects. We can additionally integrate that model in web apps or desktop application.
We work closely with our clients to develop a custom solution that meets their specific needs, and we employ testing and validation methods to ensure the accuracy and efficiency of our models. We are committed to delivering quality solutions that provide value to our clients.
Machine Learning Tools
Python, scikit-learn, TensorFlowWhat's included
| Service Tiers |
Starter
$750
|
Standard
$999
|
Advanced
$1,499
|
|---|---|---|---|
| Delivery Time | 8 days | 12 days | 18 days |
Number of Revisions | 2 | 3 | 4 |
Number of Model Variations | 3 | 3 | 3 |
Number of Scenarios | 3 | 3 | 3 |
Number of Graphs/Charts | 3 | 3 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Filip
Machine Learning & Computer Vision Engineer
Zagreb, Croatia - 8:17 am local time
I'm a Senior Machine Learning Engineer with over 5 years of experience in computer vision, deep learning, and cutting-edge AI research. I specialize in delivering high-performance solutions that optimize operations, reduce costs, and automate complex tasks—for both startups and Fortune 500 companies.
What I Deliver:
🔍 Advanced Computer Vision Systems
- Expert in object detection, image segmentation, and generative AI
- Reduced deployment and retraining time by up to 50%
☁️ Cloud-Based AI Architecture
- Proven track record building Azure-based pipelines
- Scalable solutions processing terabytes of data
💡 Cost-Effective Innovation
- Implementing deep learning pipelines without blowing your budget
- Maximizing accuracy while minimizing hardware overhead
⚙️ End-to-End ML Implementation
- Full project lifecycle: data ingestion, model development, optimization, and deployment
- Ensuring seamless integration into existing workflows
👨💼 Technical Leadership
- Mentoring and guiding teams on best practices in ML and CV
- Distilling complex AI concepts for non-technical stakeholders
Technical Expertise:
🛠️ ML/DL Tools: PyTorch, TensorFlow, OpenCV, ONNX, Pandas, Scikit-learn, OpenVINO
🔄 Cloud/MLOps: Azure (Certified AI Engineer), Docker, Git, Azure DevOps, Azure Machine Learning
🎯 Focus Areas: Computer Vision, Deep Learning, Large Language Models (LLMs), RAG Systems
I combine academic research (including a GAN project on GitHub with 700+ stars) with real-world industry experience, delivering production-ready AI systems under tight deadlines.
I hold the degree in Masters Degree in Computer Science from University of Zagreb, Faculty of Electrical Engineering and Computing, Croatia.
If you need a results-focused ML engineer who can translate business objectives into scalable AI solutions, let's connect!
Ready to accelerate your AI initiatives? Message me, and let's transform your vision into tangible results.
Steps for completing your project
After purchasing the project, send requirements so Filip can start the project.
Delivery time starts when Filip receives requirements from you.
Filip works on your project following the steps below.
Revisions may occur after the delivery date.
Defining requirements
The client purchases the projects and sends the requirements and provides a custom dataset that will be used for training the object detection model.