COT-AD provides over 25,000 cotton crop images with about 5,000 annotated for detection, segmentation, and disease classification across the full growth cycle.
COT-AD: Cotton Analysis Dataset
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abstract
This paper presents COT-AD, a comprehensive Dataset designed to enhance cotton crop analysis through computer vision. Comprising over 25,000 images captured throughout the cotton growth cycle, with 5,000 annotated images, COT-AD includes aerial imagery for field-scale detection and segmentation and high-resolution DSLR images documenting key diseases. The annotations cover pest and disease recognition, vegetation, and weed analysis, addressing a critical gap in cotton-specific agricultural datasets. COT-AD supports tasks such as classification, segmentation, image restoration, enhancement, deep generative model-based cotton crop synthesis, and early disease management, advancing data-driven crop management
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COT-AD: Cotton Analysis Dataset
COT-AD provides over 25,000 cotton crop images with about 5,000 annotated for detection, segmentation, and disease classification across the full growth cycle.