Black-and-White-Colorized-Image-Prediction

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Black-and-White-Colorized-Image-Prediction

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Colorize black-and-white photos and videos with deep learning. A Python desktop app (Tkinter GUI) that uses OpenCV's DNN module and a pretrained Caffe CNN to add realistic color to grayscale media - great for photo restoration and reviving historical images.

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# 🎨 Black and White Image Colorization using Deep Learning

Bring your old black-and-white photos to life by automatically adding colors using a deep learning model! This project uses a pre-trained neural network to predict realistic colors for grayscale images.

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![Image](https://github.com/user-attachments/assets/179a0a5d-3f52-4f85-9b67-2b96c2c61768)

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## 📌 Overview

This project implements **automatic image colorization** using a deep learning model trained on thousands of color photos. Given a black-and-white (grayscale) image, it predicts the appropriate colors and reconstructs a plausible colored image.

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## ✨ Features

- ✅ Convert black-and-white images to color automatically
- 🧠 Uses pre-trained models for fast and accurate results
- 📷 Support for single or batch image processing
- 🔧 Simple to use via command-line or script
- ⚡ Lightweight and runs locally with OpenCV + NumPy

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## 🧰 Tech Stack

- **Python 3.8+**
- **OpenCV**
- **NumPy**
- **Caffe** (for model format)
- *(Optional)*: **PyTorch + DeOldify** for advanced colorization

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## ⚙️ Installation & Setup

### Clone the repository
```bash
git clone https://github.com/AryanSinghh07/Black-and-White-Colorized-Image-Prediction.git
cd black-white-colorizer

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