六种水果作物数据集

本研究利用OpenAI的DALL·E模型创建了六种水果作物数据集，包括草莓、芒果、苹果、鳄梨、哈密瓜和橙子。数据集通过AI生成，旨在模拟真实农业环境中的水果图像。创建过程中，使用了文本到图像和图像到图像（变体）两种图像生成方法。数据集应用于评估DALL·E模型在农业图像生成中的能力，特别是在图像清晰度和结构相似性方面的表现。该数据集的应用领域包括精准农业解决方案的开发和图像处理技术的进步，旨在解决农业图像数据生成的挑战。

This study utilized OpenAI's DALL·E model to develop a crop dataset encompassing six fruit varieties: strawberry, mango, apple, avocado, Hami melon, and orange. The AI-generated dataset is designed to simulate fruit images in realistic agricultural settings. Two image generation techniques were employed during its construction: text-to-image and image-to-image (variation). This dataset is applied to assess the DALL·E model's capabilities in agricultural image generation, specifically its performance regarding image clarity and structural similarity. Its intended application fields include the development of precision agriculture solutions and the advancement of image processing technologies, with the objective of addressing the challenges associated with agricultural image data generation.