Marsface Project: Detecting Pseudo-artificial Structures on Mars

Speaker

Hideki Tanaka /English

Tags

Object Detection, Machine Learning, Deep Learning

Abstract

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


Profile picture
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

Twitter

@atelierhide

Organization/Company

PyData.Tokyo

Job title

Organizer