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Part 1: Document Description
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Citation |
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Title: |
RGB Maize Kernels Image Dataset for grain quality screening: A use case- Detection of Aflatoxins and Fumonisins in Maize Using Computer Vision |
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Identification Number: |
doi:10.7910/DVN/IWAUTS |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2026-01-04 |
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Version: |
1 |
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Bibliographic Citation: |
Kiwoli, Liston, 2026, "RGB Maize Kernels Image Dataset for grain quality screening: A use case- Detection of Aflatoxins and Fumonisins in Maize Using Computer Vision", https://doi.org/10.7910/DVN/IWAUTS, Harvard Dataverse, V1 |
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Citation |
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Title: |
RGB Maize Kernels Image Dataset for grain quality screening: A use case- Detection of Aflatoxins and Fumonisins in Maize Using Computer Vision |
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Identification Number: |
doi:10.7910/DVN/IWAUTS |
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Authoring Entity: |
Kiwoli, Liston |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Kiwoli, Liston |
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Depositor: |
Kiwoli, Liston |
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Date of Deposit: |
2025-12-31 |
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Holdings Information: |
https://doi.org/10.7910/DVN/IWAUTS |
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Study Scope |
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Keywords: |
Agricultural Sciences, Computer and Information Science, Maize; Mycotoxins; Aflatoxins; Fumonisins; Computer Vision; RGB Images; YOLO; Food Safety; Edge AI |
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Abstract: |
This dataset comprises 5,143 consistently captured RGB images of maize kernels, designed to advance computer vision for food safety. Acquired under controlled lighting and background conditions, it minimizes extraneous variability to reliably train models for detecting aflatoxin and fumonisin contamination. Each image is annotated in YOLO format, with labels validated against laboratory measurements to ensure accuracy. Critically, images contain multiple kernels, mirroring real-world batch inspection scenarios and making the dataset particularly suitable for developing practical, edge-AI applications for use in resource-constrained environments like smallholder farms. To facilitate immediate use, the data is organized for compatibility with standard YOLO pipelines; the ‘images’ folder is split into sequential 7-Zip archives (begin extraction from images.7z.001), while labels are provided in a single labels.zip file. Users are advised to verify annotation alignment after extraction. Curated with reproducibility in mind, this resource adheres to FAIR data principles, supporting scalable, non-destructive screening research and fostering the development of low-cost, mobile tools for maize quality assessment. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a> |
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Other Study Description Materials |
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Label: |
images.7z.001 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.002 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.003 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.004 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.005 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.006 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.007 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.008 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.009 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.010 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.011 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.012 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.013 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.014 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.015 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
images.7z.016 |
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Text: |
Part of a multi-volume 7-Zip archive containing RGB maize kernel images. Extraction must start from images.7z.001. |
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Notes: |
application/octet-stream |
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Label: |
labels.zip |
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Text: |
YOLO-format annotation files corresponding to the maize kernel images. |
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Notes: |
application/zip |
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Label: |
LICENSE.txt |
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Text: |
License terms governing the use and redistribution of the dataset |
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Notes: |
text/plain |
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Label: |
metadata.zip |
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Text: |
Documentation describing the dataset folder structure and extraction instructions |
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Notes: |
application/zip |
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Label: |
README.txt |
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Text: |
Overview of the dataset, usage instructions, and extraction guidance |
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Notes: |
text/plain |