I will build an AI/ML image classification or computer vision model

About this Gig

I will design, train, and deliver a custom deep learning model for image classification or computer vision tasks. What I offer: - Custom CNN / EfficientNet / ResNet model training - Multi-class or multi-label classification - Data preprocessing and augmentation - Model evaluation (AUC, accuracy, confusion matrix) - Clean, documented Python code Proven results: Built a Retinal Disease Detection System on ODIR-5K dataset achieving Mean AUC of 0.8452 using EfficientNet-B0. Tech: Python, TensorFlow, PyTorch, scikit-learn, OpenCV

Requirements

Please share: your dataset (or describe it), number of classes, preferred framework (TensorFlow/PyTorch), and expected accuracy goals.

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