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Part 1: Document Description
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Citation |
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Title: |
Bad Cantaloupe: An open image dataset of bad Cantaloupes for machine vision enabled automated grading of produce based on visual characteristics. |
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Identification Number: |
doi:10.7910/DVN/5U9EL4 |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2023-10-14 |
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Version: |
2 |
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Bibliographic Citation: |
Sharma, Anjali, 2023, "Bad Cantaloupe: An open image dataset of bad Cantaloupes for machine vision enabled automated grading of produce based on visual characteristics.", https://doi.org/10.7910/DVN/5U9EL4, Harvard Dataverse, V2 |
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Citation |
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Title: |
Bad Cantaloupe: An open image dataset of bad Cantaloupes for machine vision enabled automated grading of produce based on visual characteristics. |
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Identification Number: |
doi:10.7910/DVN/5U9EL4 |
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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: |
2023-10-14 |
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Holdings Information: |
https://doi.org/10.7910/DVN/5U9EL4 |
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Study Scope |
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Keywords: |
Agricultural Sciences, Computer and Information Science, Earth and Environmental Sciences, Engineering, Social Sciences |
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Abstract: |
Open Image Data Set of Bad Cantaloupes |
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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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Label: |
Cantaloupe-Bad.jpg |
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Notes: |
image/jpeg |
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Label: |
Cantaloupe-Bad1.jpg |
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Notes: |
image/jpeg |
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Cantaloupe-Bad2.jpg |
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image/jpeg |
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Cantaloupe-Bad3.jpg |
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image/jpeg |
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Cantaloupe-Bad4.jpg |
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Notes: |
image/jpeg |
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Label: |
Cantaloupe-Bad5.jpg |
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Notes: |
image/jpeg |