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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Amazon ML Challenge 2024\n\nWe participated in Amazon ML Challenge 2024 with a solution for extracting product attributes from images.\n\n## Team Q\\*\n- **Aman Prakash (Lead)**, NIAMT, Ranchi\n- **Sagnik Pramanik**, Heritage Institute of Technology, Kolkata\n- **Ankit Rai**, NIAMT, Ranchi\n- **Abhinav Sinha**, BIT Mesra, Ranchi\n\n## Problem: Product Attribute Extraction from Images\n\nOur approach uses the **[Moondream Vision Language Model (VLM)](https://github.com/vikhyat/moondream)**, which processes images from the `test.csv` file to extract specific attributes like weight, dimensions, and more.\n\n### Key Highlights:\n- **Moondream VLM** (1.6B parameters) was used for lightweight image-to-text processing.\n- Extracted key product attributes using targeted prompts.\n- Output cleaning and standardization were done using regex for consistency.\n  \nFor more details, refer to the main script: 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