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I will do image processing and classical computer vision using python opencv
AI, ML Engineer And Data Analyst
Hi! I am an AI/ML Engineer and Data Analyst specializing in turning complex data into actionable insights and robust predictive models. With a strong background in Software Architecture, I build end-t...
About this Gig
Why choose between Classical Image Processing and Deep Learning when you can have the best of both worlds?
I am a Computer Vision Specialist and AI Engineer. I build optimized, end-to-end vision pipelines tailored to your exact problem. Whether you need a lightning-fast OpenCV script or a complex Deep Learning architecture, I deliver robust Python solutions.
My Expertise:
- Classical Image Processing (OpenCV): Image enhancement, morphological operations, edge detection, and perspective transformations (perfect for high-speed, low-compute tasks).
- Deep Learning Vision: Object Detection (YOLO, SSD), Image Classification (CNNs, ResNet), and Semantic Segmentation.
- Hybrid Pipelines: Combining OpenCV pre-processing to clean messy data, followed by AI models for accurate prediction, and post-processing for precise outputs.
Use Cases I Cover:
- Document Scanning & OCR Pre-processing
- Defect Detection in Manufacturing
- Medical Image Filtering
- Object Tracking and Counting
Every vision project is unique. Please inbox me before ordering so we can discuss the perfect architectural approach for your dataset!
Expertise:
Image processing
•
Object detection
Programming language:
Python
•
SQL
•
Colab
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Colab
Frameworks:
Scikit-learn
•
Keras
My Portfolio
Other Data Science & ML Services I Offer
FAQ
Q1: What is the difference between your Basic and Premium packages?
A: The Basic package uses fast, classical OpenCV algorithms (like edge detection or color filtering) without AI. The Premium package includes training a custom Deep Learning model (like YOLO or CNN) specifically on your dataset, combined with OpenCV for perfect results.
Q2: Do you provide the Python source code?
A: Yes, absolutely! Every package includes the complete, well-commented Python script (or Jupyter Notebook) and a requirements.txt file so you can run the code on your own machine.
Q3: Can you work with dark, blurry, or noisy images?
A: Yes. I always apply classical OpenCV pre-processing techniques (like Histogram Equalization and Gaussian Blurring) to clean and enhance your images before feeding them into any detection algorithm.
Q4: Can I use this for real-time video processing?
A: Yes, my OpenCV and Deep Learning pipelines are highly optimized in Python. If you need real-time webcam or video processing, let me know in the requirements so I can optimize the frames-per-second (FPS).
