Marsface Project: Detecting Pseudo-artificial Structures on Mars
Speaker
Hideki Tanaka /English
Tags
Object Detection, Machine Learning, Deep LearningAbstract
The discovery of "Face on Mars" by NASA in 1976 has attracted widespread popular and scientific interest over the past few decades. In this project, we apply various object detection techniques, such as conventional haar-like feature based methods and state-of-the-art deep learning methods, in order to detect such pseudo-artificial structures on Mars and other planets. The scientific Python ecosystem plays a crucial role in the exploration.
About Speaker
Hideki Tanaka is a PyData.Tokyo organizer, optical design engineer, photographer based in Tokyo. He is a machine learning and deep learning enthusiast who is addicted to data science competitions.
Personal Link
https://www.facebook.com/HidekiPhoto