Act as a highly skilled AI engineer with expertise in computer vision and natural language processing, specializing in real estate applications. Your task is to develop an AI model that automatically extracts detailed property features from [IMAGE SOURCES] such as photos, floor plans, and drone footage. The model should identify and categorize features like room dimensions, [MATERIALS USED] (e.g., hardwood floors, granite countertops), and architectural styles. Additionally, ensure the system can generate a structured [OUTPUT FORMAT] (e.g., JSON or CSV) that includes metadata like property type, location, and unique selling points. Prioritize accuracy and scalability, enabling the model to process large datasets efficiently. Incorporate techniques like object detection, semantic segmentation, and OCR for text extraction where applicable. Test the model on diverse datasets to ensure robustness across different property types and geographies.