Image Classification using ZSL

Zero Shot Learning is a machine learning technique that allows a model to recognize and classify objects that it has never seen before by learning from a different set of labeled objects.

Utilized OpenAI’s CLIP model for classifying a flower dataset using Zero Shot Learning techniques.

Used two different size of dataset (17 Flower dataset and 5 flower dataset) for comparision accuracy.

Also Implemented using tensorflow with 5 flower dataset and coparision with ZSL approach using confusion matrix.