https://github.com/redhat-na-ssa/datasci-fingerprint

Explore the wonders of ML with fingerprints
https://github.com/redhat-na-ssa/datasci-fingerprint

classification data-science dataset image-classification jupyter-notebook machine-learning tensorflow tensorflow-tutorials

Last synced: 16 days ago
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Explore the wonders of ML with fingerprints

• Host: GitHub
• URL: https://github.com/redhat-na-ssa/datasci-fingerprint
• Owner: redhat-na-ssa
• License: mit
• Created: 2023-02-07T23:47:55.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2023-11-29T04:03:18.000Z (12 months ago)
• Last Synced: 2024-10-10T08:40:50.817Z (about 1 month ago)
• Topics: classification, data-science, dataset, image-classification, jupyter-notebook, machine-learning, tensorflow, tensorflow-tutorials
• Language: Jupyter Notebook
• Homepage:
• Size: 110 MB
• Stars: 1
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Fingerprint Prediction on Unknown Prints

This tutorial demonstrates a basic machine learning workflow to create an image classifier that can predict human attributes from unknown fingerprints.

1. Examine and understand data

1. Process and transform data

1. Train a baseline model

1. Deploy to production

1. Tune the model

1. Deploy to production

1. Identify improvements

Project structure based on the cookiecutter data science project template. #cookiecutterdatascience


## Quick start

Go to [notebooks](notebooks) to get started

Local Development

```

scripts/bootstrap.sh

```

## Additional Resources

- [Cornell University - Research Paper](https://arxiv.org/abs/1807.10609)

- [Kaggle - Sokoto Coventry Fingerprint Dataset (SOCOFing)](https://www.kaggle.com/datasets/ruizgara/socofing)