The dataset is comprised of three different types of Millet i.e BARNYARD, LITTLE MILLET, PROSO. The BARNYARD folder contains of 500 images, the LITTLE MILLET contains 255 imagaes and the PROSO contain
Computer vision heavily relies on features, especially in image classification tasks using feature-based architectures. Dimensionality reduction techniques are employed to enhance computational perfor
Description: The Wheat Plant Diseases Dataset is a comprehensive collection of high-resolution images designed to assist researchers, agronomists, and developers in the development of advanced machin
This dataset includes 248 images of tea leaves, categorized into five groups: Algal Leaf Spot (54 images), Brown Blight (48 images), Grey Blight (53 images), Healthy (49 images), and Red Leaf Spot (44
