Image Classification using ZSL
Anuj P
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.
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Posted Jul 29, 2023
This project classifies flower images using zero-shot learning. Also compares accuracy with two datasets & deep learning method.
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