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Part 1: Document Description
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Citation |
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Title: |
Imperfect Okra: An open dataset of imperfect Okra images for training machine vision algorithms for automated recognition and sorting based on produce visual characteristics. |
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Identification Number: |
doi:10.7910/DVN/GKS1WD |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2024-03-14 |
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Version: |
2 |
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Bibliographic Citation: |
Sharma, Anjali, 2024, "Imperfect Okra: An open dataset of imperfect Okra images for training machine vision algorithms for automated recognition and sorting based on produce visual characteristics.", https://doi.org/10.7910/DVN/GKS1WD, Harvard Dataverse, V2 |
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Citation |
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Title: |
Imperfect Okra: An open dataset of imperfect Okra images for training machine vision algorithms for automated recognition and sorting based on produce visual characteristics. |
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Identification Number: |
doi:10.7910/DVN/GKS1WD |
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Authoring Entity: |
Sharma, Anjali (LIME Lab Low Profit LLC) |
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Distributor: |
Harvard Dataverse |
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Access Authority: |
Sharma, Anjali |
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Depositor: |
Sharma, Anjali |
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Date of Deposit: |
2024-03-14 |
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Holdings Information: |
https://doi.org/10.7910/DVN/GKS1WD |
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Study Scope |
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Keywords: |
Agricultural Sciences, Computer and Information Science, Earth and Environmental Sciences |
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Abstract: |
Imperfect Okra: An open dataset of imperfect Okra images for training machine vision algorithms for automated recognition and sorting based on produce visual characteristics. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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