Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/70465
Title: Car detection using transfer learning methodology
Authors: Mundhra, Shreyas Sudhir
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2017
Abstract: 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.
URI: http://hdl.handle.net/10356/70465
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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