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I will develop custom image processing and segmentation solutions
About this Gig
Do you need a reliable and precise image processing or segmentation solution for your project, research, or application?
I develop custom algorithms and intelligent pipelines that transform complex image data into actionable insights from simple processing scripts to advanced segmentation models.
With a strong background in data science, computer vision, and automation, I create solutions that are not only accurate but also efficient, scalable, and well-documented.
What I offer:
- Custom image processing algorithms (filtering, denoising, enhancement, optimization)
- Segmentation solutions (binary, multi-class, or instance-based)
- Feature extraction and region-based analysis
- Classical and deep learningbased methods (OpenCV, PyTorch, TensorFlow)
- Process automation and Python-based tool development
Why work with me:
- Strong background in machine learning, process optimization, and algorithm design
- Experience in industrial R&D and data-driven automation
- Focus on clarity, precision, and practical usability
- Clean, documented Python code and visual examples included
Whether you need a prototype, proof of concept, or production-ready algorithm, Ill make sure your images deliver real results.
Programming language:
Python
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
PyTorch
Frameworks:
Scikit-learn
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Keras
•
PyTorch
FAQ
What information do you need before starting?
Please provide: A description of your goal (what you want to detect or segment), Example images (a few samples are enough to start), Any available labeled data (if applicable). This helps me estimate the best approach and deliver accurate results.
Do I need to provide annotated data?
If you need a deep learning–based segmentation model, yes — you’ll need to provide labeled data (masks or ground truth images). For algorithm development or testing, I can optionally annotate a few example images to calculate accuracy and visualize performance.
What kind of image data can you work with?
I can handle a wide range of image types — grayscale, RGB, microscopic, industrial, medical, or satellite imagery — in most common formats (PNG, JPEG, TIFF, BMP, etc.). If you’re unsure, just send me a few examples and I’ll confirm compatibility.
Do you train deep learning models or only classical algorithms?
I do both. Depending on your needs, I can build classical image segmentation algorithms (OpenCV, NumPy, scikit-image) or deep learning models (U-Net, custom CNNs). We’ll discuss the best approach based on your data, budget, and goals.
Will you deliver the full code and documentation?
Absolutely. Every project includes well-documented Python code, clear usage instructions, and optional example data or visuals for validation.
