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arXiv · 2507.18532

COT-AD: Cotton Analysis Dataset

Akbar Ali·Mahek Vyas·Soumyaratna Debnath·Chanda Grover Kamra·Jaidev Sanjay Khalane·Reuben Shibu Devanesan·Indra Deep Mastan·Subramanian Sankaranarayanan·Pankaj Khanna·Shanmuganathan Raman
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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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Akbar Ali, Mahek Vyas, Soumyaratna Debnath, Chanda Grover Kamra, Jaidev Sanjay Khalane, Reuben Shibu Devanesan, Indra Deep Mastan, Subramanian Sankaranarayanan, Pankaj Khanna, Shanmuganathan Raman. 2025-07-24. COT-AD: Cotton Analysis Dataset. https://doi.org/10.21227/bpqn-9a12

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