A web-app made using flask and Deep learning ( custom CNN model with InceptionResNetV2 ) in python for identifying the breed of the dog from its image.
File descriptions:
train.zip - the training set, we are provided the breed for these dogs
test.zip - the test set, we have to predict the probability of each breed for each image
sample_submission.csv - a sample submission file in the correct format
labels.csv - the breeds for the images in the train set
The train folder consists of 10,222 images and test folder consists of 10,357 images.
Each image has a filename that is its unique id.
The dataset comprises of 120 breeds of dogs.
Accuracy achieved after training the model: 91.0959%
Checkout my jupyter notebook
