Abstract: To enhance the precision and efficiency of petrographic thin section image classification and reduce the subjectivity resulting from manual classification methods, a new classification model ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Abstract: Satellite image classification holds significant importance across various applications, including agriculture, urban planning, and disaster management, due to the necessity for effective ...
vit-mini-explicit-content is an image classification vision-language model fine-tuned from vit-base-patch16-224-in21k for a single-label classification task. It categorizes images based on their ...
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