This project aims to classify images into various classes using Convolution Neural Network using Tensorflow Library. The Classifier can distinguish between-
- Airplane
- Automobile
- Bird
- Cat
- Deer
- Dog
- Frog
- Horse
- Ship
- Truck
The CIFAR-10 is labeled subsets of the 80 million tiny images dataset. It was collected by Alex Krizhevsky, Vinod Nair, and Geoffrey Hinton.
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
CLICK HERE TO DOWNLOAD THE DATASET
Below are some interesting examples where the model failed to predict the correct output
Confusion Matrix makes visualizion of the result very easy and highlights the correct prediction with blue.
Divyanshu Gupta gupta.divyanshuu@gmail.com
© Divyanshu gupta
Licensed under the MIT License.