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Image Data Analysis
Project Title: Medical Image Captioning with Explainability and Optimization Overview: We are seeking a skilled AI/ML freelancer with strong experience in encoder-decoder models, medical image captioning, and model optimization techniques. The goal is to fine-tune and extend an existing architecture to generate accurate and explainable captions for medical images. Key Requirements: Dataset: Use the ROCO dataset (80,000+ medical images) for training and evaluation. Model: Fine-tune the MedICap model integrating: SCST (Self-Critical Sequence Training) Cross Entropy Loss BERTScore Optimization: Implement Hybrid Harris Hawk Optimization (HHO) for feature selection to improve model efficiency. Explainability: Integrate Grad-CAM++ to generate visual explanations (heatmaps) and compare p...