I have about ten weeks to build a model that will recognize different species of wasps based on overhead images of the wasps. The idea is to train the model on a set of images, and then test the model on another set of images and rate its performance (ie. correctly identified / total number of examples). Here are two examples of the kinds of images I will be dealing with.
Project Location:
I will be working at the Taiwan Forestry Research Institute (TFRI) in Taipei, Taiwan for the summer.
Background:
4th year, Computer Engineering Major at UCSD expected B.S. in June 2012.
Relevant Coursework:
CSE 150: Introduction to Artificial Intelligence - received an A
CSE 152: Introduction to Computer vision - received an A
Independent study on Machine Learning under Dr. Tony Fountain
Goals:
I have a decent grasp on the theoretical concepts of machine learning and computer vision, but I have had little hands-on practice and do not understand how to apply the what I learned to real-world problems, so I believe that this will be both a difficult and rewarding project.
My goal for the summer is to:
- have a better understanding of machine learning and computer vision
- understand how to apply the methodologies to real-world applications
- understand the relevance and importance of these kinds of applications
- decide my focus for graduate school
- eat a lot and have fun!
Project Mentors:
UCSD:
Dr. Tony Fountain
TFRI:
Dr. Chau Chin Lin
Dr. Sheng-Shan Lu
Dr. Yu-Huang Wang
Also, here is a link to my travel blog while I am in Taiwan.
http://adrian-prime2011.blogspot.com/
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