Dataset for: Nutrispace: A Novel Color Space to Enhance Deep Learning Based Early Detection of Cucurbits Nutritional Deficiency
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下载链接：
https://data.mendeley.com/datasets/t2k7z4wsj4
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资源简介：
This dataset is an extension of our research titled "Nutrispace: A Novel Color Space to Enhance Deep Learning Based Early Detection of Cucurbits Nutritional Deficiency," which is currently under review. For utmost reproducibility, we've included a ZIP file and a Python file:
The ZIP file, "dataset_images," comprises 2700 segmented RGB images spanning 9 classes. The dataset is balanced and divided into train, validation, and test sets with a ratio of 0.70:0.15:0.15.
Class distribution of the dataset:
Crop | Class | Number of samples
---------------|------------------|-------------------
Ash gourd | Healthy | 300
Ash gourd | N deficiency | 300
Ash gourd | K deficiency | 300
---------------|------------------|-------------------
Bitter gourd | Healthy | 300
Bitter gourd | N deficiency | 300
Bitter gourd | K deficiency | 300
---------------|------------------|-------------------
Snake gourd | Healthy | 300
Snake gourd | N deficiency | 300
Snake gourd | K deficiency | 300
---------------|------------------|-------------------
| | Total = 2700
The converter.py file is a Python class file for transforming the RGB images to HSV, CIELAB, and our proposed color space - Nutrispace. The .py file contains a short documentation within it for the ease of use.
创建时间：
2023-08-22
