Cauliflower Diseases Identification Image Dataset
Published: 3 June 2025| Version 1 | DOI: 10.17632/c2hrwntzgh.1
Contributors:
Md Mafiul Hasan Matin, mehedi hasan mehedi hasan, Sabik Ur RahmanDescription
Cauliflower Diseases: Black Rot (Original Images=103, Augmented Images=618) Card Rot (Original Images=105, Augmented Images=630) Tobbaco_Caterpilar (Original Images=100, Augmented Images=600) Yellow Virus (Original Images=100, Augmented Images=600) Data Augmentation Techniques: A.HorizontalFlip(p=0.5), # 50% chance to flip horizontally A.VerticalFlip(p=0.3), # 30% chance to flip vertically A.RandomBrightnessContrast(p=0.3), # Adjust brightness & contrast randomly A.Rotate(limit=30, p=0.5), # Rotate between -30 to +30 degrees A.Affine(shear=(-20, 20), p=0.5), # Apply shear transformation in both X & Y directions A.GaussNoise(var_limit=(10.0, 50.0), p=0.3) # Add random noise
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Categories
Image Processing, Machine Learning, Deep Learning