Car detection using transfer learning methodology
Mundhra, Shreyas Sudhir
Date of Issue2017
School of Computer Science and Engineering
Due to the emergence and rise of smartphones and other forms of embedded computing in today's times, it has become important to find object detection algorithms that are less resource intensive. In this project, I have tried to analyse some of the reasons existing algorithms for object detection are GPU intensive and have tried to implement an algorithm for car localization using neural networks that is also GPU efficient. Due to limited availability of GPU resources, it was not feasible to train the model from scratch. Hence, we have used transfer learning techniques by reusing some of the weights of some known models which are used for similar tasks.
DRNTU::Engineering::Computer science and engineering
Final Year Project (FYP)
Nanyang Technological University