面向棉花作物分析的2.5万张图像数据集，支持病虫害识别与生长监测。
COT-AD: Cotton Analysis Dataset
- 整合航拍与高分辨率相机图像，覆盖棉花全生长周期。
- 含5000张标注图像，涵盖病虫害、杂草与植被分析。
- 适用于农业视觉任务，助力精准种植与早期病害管理。
本文提出COT-AD，一个用于提升棉花作物计算机视觉分析的综合性数据集。该数据集包含超过25,000张图像，覆盖棉花生长全过程，其中5,000张已标注。数据集包含用于田间尺度检测与分割的航拍影像，以及记录关键病害的高分辨率DSLR图像。标注内容涵盖虫害与病害识别、植被状态及杂草分析，填补了棉花专用农业数据集的空白。COT-AD支持分类、分割、图像修复与增强、基于深度生成模型的棉花合成及早期病害管理等任务，推动数据驱动的作物管理发展。
原文摘要 · Abstract (English)
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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