Zero-Shot-Learning for Plant Species Classification.

Zero-shot learning (ZSL) is a machine learning technique that identifies the target classes without any observed data, using semantic information from some source classes as the basis of knowledge transfer. ZSL has emerged as a new paradigm in machine learning to solve the constraints of classical supervised learning. This study explores applying ZSL techniques to a plant species dataset containing rich attribute descriptions for each class. Our study uses the multimodal capabilities of Contrastive Language–Image Pre-training to predict unseen plant species classes without needing labeled examples during training. Our objective is to contribute to advancing biodiversity conservation efforts and promoting environmental sustainability by facilitating the automated recognition of plant species based on semantic attributes. [ABSTRACT FROM AUTHOR]

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