Tomato Leaves Dataset Overview This dataset contains images of tomato leaves categorized into different classes based on the type of disease or health condition. The dataset is divided into training, validation, and test sets, with a ratio of 8:1:1. The classes include various diseases as well as healthy leaves. The dataset includes both augmented and non augmented images. Dataset Structure The dataset is organized into three main splits: train validation test Each split contains images belonging to the following classes: Bacterial spot (0) Early blight (1) Late blight (2) Leaf Mold (3) Septoria leaf spot (4) Tomato Yellow Leaf Curl Virus (5) Tomato mosaic virus (6) healthy (7) Data Summary Training Data Summary Split Class Total Images Augmented Images Non Augmented Images % Non Augmented % Augmented train Tomato Late blight 1710 119 1591 93.04 6.96 train Tomato Tomato mosaic virus 509 217 292 57.37 42.63 train Tomato Leaf Mold 999 207 792 79.28 20.72 train Tomato Bacterial spot 1930 178 1752 90.78 9.22 train Tomato Early blight 966 135 831 86.02 13.98 train Tomato healthy 1589 342 1247 78.48 21.52 train Tomato Tomato Yellow Leaf Curl Virus 4930 752 4178 84.75 15.25 train Tomato S…
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