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By leveraging advanced neural networks, this tool predicts and applies realistic colors, breathing life into black-and-white photos with **vibrant, natural-looking results**.  \n\n---  \n\n## 🚀 Features  \n✅ **Automatic Colorization** – Converts grayscale images to full-color effortlessly.  \n✅ **Versatile Image Support** – Works with various image types and styles.  \n✅ **Deep Learning Powered** – Utilizes cutting-edge neural networks for **accurate \u0026 lifelike** colorization.  \n\n---  \n\n## 📂 Project Structure  \n```\nImage-Colorizer/\n├── data/         # Sample grayscale images \u0026 datasets  \n├── models/       # Pre-trained deep learning models  \n├── scripts/      # Python scripts for preprocessing, training, and inference  \n├── outputs/      # Folder to store colorized images  \n└── README.md     # Project documentation  \n```  \n\n---  \n\n## 🛠 Technologies Used  \n- 🐍 **Python** – Core programming language  \n- 🤖 **TensorFlow** – Deep learning framework for training and inference  \n- 📷 **OpenCV** – Image processing for handling inputs and outputs  \n\n---  \n\n## 🔗 Acknowledgments  \n📌 **Pre-trained Model:** [colorization_release_v2.caffemodel](https://storage.openvinotoolkit.org/repositories/datumaro/models/colorization/)  \n\n---  \n\n## 📜 License  \nThis project is open-source and available under the **MIT License**.  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkasraskari%2Fimage-colorizer","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkasraskari%2Fimage-colorizer","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkasraskari%2Fimage-colorizer/lists"}