Application of Convolutional Neural Network for Image Classification on Pascal VOC Challenge 2012 dataset

Understand

In this project we work on creating a model to classify images for the Pascal VOC Challenge 2012.

• We use convolutional neural networks trained on a single GPU instance provided by Amazon via their cloud service Amazon Web Services (AWS) to classify images in the Pascal VOC 2012 data set.
• We train multiple convolutional neural network models and finally settle on the best model which produced a validation accuracy of 85.6% and a testing accuracy of 85.24%.