Scientific Computing Project (SCP)

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This project provides a modular, extensible, and research-oriented deep learning pipeline for image classification. It is designed for experimentation, hyperparameter optimization, and architecture extensibility.

The first implemented architecture is based on VGG-16, with clear separation of training, tuning, and evaluation components. Additional architectures will be added in future updates.

You can download the augmented dataset here.

License and Reference

This project is licensed under the MIT License.

If you use this project for academic or research purposes, please consider citing it or mentioning the contributors.

Contributors

The following contributors are actively working on this project:

Development Status

This project is in active development under the Scientific Computing Project (SCP). Additional architectures and evaluation modules will be added in future releases.

For questions, issues, or contributions, please use the GitHub repository.