  In recent years, we know that the interaction with images has increased.
Image similarity involves fetching similar-looking images abiding by a given
reference image. The target is to find out whether the image searched as a
query can result in similar pictures. We are using the BigTransfer Model, which
is a state-of-art model itself. BigTransfer(BiT) is essentially a ResNet but
pre-trained on a larger dataset like ImageNet and ImageNet-21k with additional
modifications. Using the fine-tuned pre-trained Convolution Neural Network
Model, we extract the key features and train on the K-Nearest Neighbor model to
obtain the nearest neighbor. The application of our model is to find similar
images, which are hard to achieve through text queries within a low inference
time. We analyse the benchmark of our model based on this application.
