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--- |
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license: cc-by-4.0 |
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task_categories: |
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- image-classification |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Matthiola incana leaf dataset |
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This dataset is intended to create a model for classifying images of Matthiola incana leaves into **single-flowered** leaf or **double-flowered leaf**. |
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# Matthiola incana |
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Matthiola incana, a member of the family Brassicaceae, is an ornamental plant cultivated worldwide for its beautiful flowers. This species exhibits two flower forms: single and double flowers. The market for single-flowered plants is extremely limited and their commercial value is lower than that of double-flowered plants. Therefore, to efficiently produce high-value M. incana, farmers select double-flowered plants during the seedling stage, a few weeks after sowing, based on cotyledon characteristics. However, this identification is not simple and can be extremely difficult for inexperienced individuals.Using this dataset, you can create a classification model for Matthiola incana. |
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# About the dataset |
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It contains data on the following varieties of M. incana: |
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* Quartet_Apricot |
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* Quartet_Blue |
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* Quartet_Marine |
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* Quartet_Rose |
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Although there are two existence folders for the same variety, such as Quartet_Apricot and Quartet_Apricot2, it is guaranteed that the M. incana contained in these folders are different individuals. To prevent data leakage, we recommend using either Quartet_Apricot or Quartet_Apricot2 as training data and the other as test data, and similarly for the other three varieties. |
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Each folder is further divided by {date}_{single or double}. |
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The purpose of this data is to perform binary classification between **single** and **double**. |
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