Hack Cambridge Spyder Lite Hackathon

Event Schedule

08.30 - 09.00: Registration
09.00 - 10.00: Reply Presentation
10.00 - 13.00: Hacking
13.00 - 14.00: Lunch
14.00 - 18.00: Hacking
18.00 - 18.45: Evaluation
18.45 - 19.00: Awards Presentation

About the Challenge

The Challenge for Hack Cambridge Spyder Lite has been divided into two main areas of Machine Learning (Computer Vision and Natural Language Processing), based on varying levels of difficulties. We want to give you as much creative freedom as possible!

Remember to submit your work once hacking ends, to compete for the prizes and receive feedback on your solutions from the experts of our sponsor company.

Get Started

1. Find a dataset of images or text (depending on the chosen area of interest) and identify the data which you would like to generate.
   
   
   
   • Links to high-quality data will be provided for images. For text, Kaggle.com is an ideal resource to use.
   
   
   • As the field of NLP is diverse, using publicly available textual datasets can prove be useful when searching for data against a given use-case.
   
   
   
   


2. Using Google Colab, explore your data and understand exactly what it is which you would like to generate.


3. Take some time to prepare your data to feed into your pre-trained model

Useful resources and example notebooks can be found at this Google Drive link.
https://drive.google.com/drive/u/1/folders/1R4boDg9kBaxKKLLbnuGQKszeGuKgPSs1

March 12, 2023

Hack Cambridge Foundation

Engineering Dept, Trumpington St, Cambridge CB2 1PZ, UK

£756