This repository contains our classifier and localization implementations for the ECSE 415 final project. The goal of this project was to implement an SVM classifier and a localization method. Deep-learning based methods for both localization and classification were also accepted.
- SVM Classifer
- CNN Classifier
Custom-trained version of YOLOv3 using darknet.
- Tristan Toupin
- Matthew Lesko
- Alexander Harris
- Abbas Yadollahi
- Filip Bernevec
The datasets used were provided by the following paper:
Z. Luo, F.B.Charron, C.Lemaire, J.Konrad, S.Li, A.Mishra, A. Achkar, J. Eichel, P-M Jodoin, "MIO-TCD: A new benchmark dataset for vehicle classification and localization in press at IEEE Transactions on Image Processing", 2018.
Link to dataset: http://podoce.dinf.usherbrooke.ca/challenge/dataset/