I will build a medical imaging ai model to detect diseases

Looking for a high-accuracy AI/ML model for your computer vision project?

I specialize in building production-ready deep learning models for real-world image tasks.

Services I Offer:

Image Classification ResNet, EfficientNet, VGG, custom CNNs Object Detection YOLOv8, YOLOv5, Faster R-CNN Image Segmentation Semantic, Instance & Panoptic (U-Net, Mask R-CNN) Custom Dataset Training Train on YOUR data Transfer Learning Fast & accurate results even on small datasets Model Optimization Lightweight models for deployment

️ Tools & Frameworks: PyTorch | TensorFlow | Keras | OpenCV | YOLOv8 | Hugging Face | scikit-learn

What You Will Receive: Clean, well-commented Python code Training & validation accuracy/loss reports Model testing on sample images README with setup instructions.

Use Cases I've Worked On: Medical image analysis ,Retail product detection Defect detection in manufacturing Face/emotion recognition Satellite image analysis

Why Choose Me? 95%+ model accuracy on standard datasets Clean, deployable code not just a notebook Clear communication throughout the project Experience with both small & large datasets

Message me BEFORE ordering share your requirements!