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https://github.com/shreyansh4532/edi_vii
https://github.com/shreyansh4532/edi_vii
Last synced: about 2 months ago
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- Host: GitHub
- URL: https://github.com/shreyansh4532/edi_vii
- Owner: shreyansh4532
- Created: 2024-11-11T12:49:15.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-11-24T13:25:40.000Z (2 months ago)
- Last Synced: 2024-11-24T14:24:34.857Z (2 months ago)
- Language: Jupyter Notebook
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Automatic Colorization of Grayscale Images
This project implements a deep learning model to automatically colorize grayscale images. The system uses advanced neural network techniques to predict and apply realistic colors to black-and-white images.
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## 🚀 Features
- **Deep Learning Architecture:** Utilizes state-of-the-art deep learning models for image colorization.
- **Dataset Handling:** Processes large datasets of grayscale and color images for training and testing.
- **High Accuracy:** Focused on improving the accuracy and ensuring realistic color outputs.
- **Google Colab Integration:** Developed and trained on Google Colab for efficient computation.
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## 🔧 Technologies Used
- **Python**: Core programming language.
- **TensorFlow/Keras**: For deep learning model development.
- **NumPy & Pandas**: For data manipulation and preprocessing.
- **OpenCV**: For image processing.
- **Matplotlib**: For visualizing results.
- **Google Colab**: Used for training and experimentation.
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