Soybean Seeds Dataset

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Soybean Seeds Dataset

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File

Soybean Seeds

Use Case

Soybean Seeds

Description

Download the Soybean Dataset featuring 5513 categorized images of soybean seeds, including intact, spotted, immature, broken, and skin-damaged types.

Description:

The Soybean Seeds consists of 5,513 high-quality images of individual soybean seeds, meticulously categorized into five distinct types: intact, spotted, immature, broken, and skin-damaged. Each category contains over 1,000 images, making this dataset a comprehensive resource for agricultural research, quality control, and machine learning applications. Captured using an advanced industrial camera, the images have been carefully processed to ensure optimal segmentation accuracy of over 98%, allowing for precise classification and analysis. The dataset follows the Standard of Soybean Classification (GB1352-2009), ensuring that the categorization of each seed type adheres to recognized industry guidelines.

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Dataset Details:

Categories: Intact, Spotted, Immature, Broken, Skin-damaged
Total Images: 5513
Resolution: Individual images (227×227 pixels), Original images (3072×2048 pixels)
Segmentation Accuracy: Over 98%
Use Cases: Classification, Quality Assessment of Soybean Seeds

Download Size: 90 MB

Applications: The Dataset is an invaluable resource designed to aid in the development and training of machine learning models focused on the classification and quality assessment of soybean seeds. This dataset is suitable for agricultural research, seed quality control, and agronomy advancements. By analyzing and processing the data, researchers can gain critical insights into various aspects of soybean seed quality, including size, shape, weight, texture, and other key factors that determine the health and productivity of the seeds.