In this project I have taken ten simpsons charcaters and have tried to make end to end image classification where it can detect character which are even blurred.

1. I have taken complete dataset from kaggle (https://www.kaggle.com/alexattia/the-simpsons-characters-dataset) but have used just 1038 images in total for 10 different characters due to computational restriction.

2. Here I have blurred 30% of data in each category.

3. I have made skewed dataset where I have used one category which is just 3% of total dataset.

4. I have done data generator process in Data Genrator file.

1. First Data augmentation was applied for the category which is less than 3% of total dataset.

2. To identify blur images better random blurr ranging from 1 to 50 have been used.

3. For training two transfer learning technique such as VGG16 and ResNet50 were used.

4. Got Better accuracy of in VGG16 as comapre to ResNet50.

Flask and heroku is been used for the deployment.

https://simpsons-character.herokuapp.com/

Detecting blur image:

Detecting clear image :