The “Keras-Seedlings” dataset, originally used in a Kaggle competition, is a specialized collection prepared by the Signal Processing Group of the Department of Engineering at Aarhus University. It has been curated specifically for use with the Keras image data generator to facilitate seamless integration into machine learning projects.
Dataset Description: This dataset features high-quality images of various weed and crop seedlings, ideal for classification tasks. Each image has been expertly segmented to display only a single seedling, ensuring clear and focused data for model training. The primary objective is to enable the development of classifiers that can accurately distinguish between different types of plant seedlings based on their images.
We extend our heartfelt gratitude to the Aarhus University Department of Engineering Signal Processing Group for their generosity in publishing and sharing this valuable dataset with the academic and research community.
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