With less than 500 North Atlantic right whales left in the world’s oceans, knowing the health and status of each whale is integral to the efforts of researchers working to protect the species from extinction.
The current process is quite time-consuming and laborious. It starts with photographing right whales during aerial surveys, selecting and importing the photos into a catalog, and finally comparing the photos against known whales in the catalog by trained researchers.
As part of an ongoing preservation effort, NOAA Fisheries launched a Kaggle data science competition to create the best automated process for identifying individual right whales.
Second place finisher Felix Lau describes how he used cuDNN, GeForce GPUs for initial development and an Amazon Web Services GPU instance to train his deep convolutional neural network.
Read more >>
Related resources
- GTC session: Deep Learning Demystified (Spring 2023)
- GTC session: Teaching Kits for Educators: Priming University Students for the AI and Accelerated Computing Future (Spring 2023)
- GTC session: Developing State of the Art Models in a Short Time – Lessons from Kaggle Grandmasters (Spring 2023)
- NGC Containers: MATLAB
- Webinar: Inception Workshop 101 - Getting Started with Vision AI
- Webinar: Open Tools for Machine Learning in Energy