This is a Web Application developed using Django and Keras which can identify Images and Classify them. It uses ResNet-50 Image Classifier which is a convolutional neural network that is 50 layers deep. You can load a pretrained version of the network trained on more than a million images from the ImageNet database. The pretrained network can classify images into 1000 object categories, such as keyboard, mouse, pencil, and many animals. As a result, the network has learned rich feature representations for a wide range of images. The network has an image input size of 224-by-224. Imagenet-Classes is having the list of 1000 different classes under which this Application classifies them.