Addressing misclassification in deep learning: A Merged Net approach

A comprehensive dataset of eight Thai cannabis classes for botanical exploration

“…In the realm of machine learning datasets, several notable contributions have emerged recently [2] , [3] , [4] , [5] , [6] , [7] , [8] , 10] catering to machine learning applications. We wanted to show just how valuable our Thai Cannabis Plant Dataset [1 , 9] is, so we ran some experiments using well-known pre-trained models like VGG19, DenseNet201, and EfficientNetB7.…”

A comprehensive lemongrass (Cymbopogon citratus) leaf dataset for agricultural research and disease prevention

“…In the realm of machine learning datasets, several notable contributions have emerged recently [2] , [3] , [4] , [5] , [6] , [7] , [8] catering to machine learning applications. We wanted to show just how valuable our Lemongrass Leaves Dataset [1] is, so we ran some experiments using well-known pre-trained models like InceptionV3, Xception, and MobileNetV2.…”

Mint leaves: Dried, fresh, and spoiled dataset for condition analysis and machine learning applications

“…Existing research works [ [1] , [2] , [3] , [4] , [5]] ] address specific image classification challenges and foster innovation in the field. Additionally, the 'Addressing misclassification in deep learning' paper [ 6 ] introduces the 'Merged Net' approach, which is relevant for improving classification accuracy in datasets, including the mint leaves dataset.…”