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$
USD
I will build computer vision, object detection models for material science
About this Gig
Are you looking to automate material analysis or build a high-performance computer vision system?
Whether you are analyzing microstructures, detecting defects, or processing medical scans, I provide end-to-end AI solutions tailored to scientific accuracy.
What I offer:
- Material Science AI: Automated microstructure classification
- Defect detection in manufacturing and surface analysis.
- Phase identification and particle sizing using SEM, TEM, or Optical imagery.
- Medical Science AI:
- Medical Image Segmentation (MRI, CT, X-ray, and Ultrasound).
- Tumor, lesion, or anomaly detection with high precision.
- Cell counting and histopathology slide analysis.
- Advanced Computer Vision:
- Object Detection: Custom models for identifying specific features or defects and CRF Post processing.
- Image Segmentation: Precise masking (UNet, Mask R-CNN, Point Tend) for complex morphologies.
- Custom Training: Developing and fine-tuning models in PyTorch and TensorFlow.
Why My Service? Scientific data requires more than just standard AI; it requires an understanding of data integrity and noise. I deliver clean Python code, optimized model weights, and detailed performance metrics.
Programming language:
Python
•
Colab
Frameworks:
Scikit-learn
•
Google ML Kit
•
Keras
•
PyTorch
APIs:
Microsoft Computer Vision AI
•
Google Cloud Vision API
Tools:
Jupyter Notebook
•
OpenCV
•
TensorFlow
•
Excel
