I will build deep learning models for image segmentation or detections

Looking for AI-powered image segmentation or automated defect detection that actually works in the real world? You're in the right place. I'm a professional engineer and computer vision expert with experience in deep learning, industrial inspection, and medical imaging.

Whether you're detecting cracks on metal surfaces, segmenting plant leaves, isolating tumors in X-rays, or flagging anomalies on PCB boardsIll build robust, scalable, and production-ready CV models using cutting-edge frameworks like TensorFlow, PyTorch, and Keras.

What I Offer:

• Image segmentation using U-Net, Mask R-CNN, DeepLabV3+
• Defect detection and classification (binary or multi-class)
• Model training, tuning, and evaluation on your dataset
• Data preprocessing and augmentation pipeline
• Support for Raspberry Pi, Jetson Nano, ESP32-CAM, and Edge AI deployment (TFLite, ONNX)

Deliverables:

• Complete source code
• Trained model (optional formats: .h5, .pt, .tflite)
• Evaluation report (accuracy, IoU, confusion matrix)
• Bonus: Inference script or real-time detection interface (if requested)

Lets turn your images into insight message me now for a custom offer or to share your dataset!