Abstract
Scivision is an open-source Data Science project. Scivision: a framework for scientific image analysis. Example use cases for these tools can be found in the gallery of notebooks using Scivision models and datasets. It is built using JavaScript, Computer Vision, Machine Learning. The complete source code is publicly available on GitHub under the BSD 3-Clause "New" or "Revised" License, making it a useful reference for students building a Data Science mini project or final-year project.
1. Introduction
Example use cases for these tools can be found in the gallery of notebooks using Scivision models and datasets
The Scivision project was founded by the Alan Turing Institute.
A quick overview of using the Scivision.Py python package.
2. Objective
scivision: a framework for scientific image analysis
This project demonstrates how JavaScript, Computer Vision, Machine Learning can be applied to a real-world Data Science problem.
4. Technology Stack
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- Node.js (LTS) and npm
- A modern web browser
- VS Code or any code editor
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/alan-turing-institute/scivision.git
cd scivision- Full installation guide
$ pip install scivisionFull setup instructions are in the project README.
7. Future Enhancements
Suggested extensions you can add to make this your own project.
- Turn the analysis into an interactive dashboard
- Automate data refresh with a scheduled job
- Add a predictive model on top of the analysis
8. Viva / Review Questions
Common questions examiners ask for projects in this domain.
- What is the source of the dataset and how was missing data handled?
- Which exploratory analysis steps revealed the most useful insight?
- Why were these particular charts chosen to present the data?
- Which statistical or ML technique supports the conclusions?
- How could the analysis be automated or refreshed with new data?
9. Source Code & License
This project is developed by alan-turing-institute and published on GitHub under the BSD 3-Clause "New" or "Revised" License. Please follow the license terms and credit the original author when you use or modify this code.
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