Contour-based detection and quantification of tar spot stromata using RGB images of maize leaves

<p>Quantifying tar spot of corn intensity has traditionally been conducted by human raters through visual-based estimations. However, this traditional method is costly in terms of time and labor and prone to rater subjectivity. Furthermore, an objective, accurate and high throughput method for quantifying stromata on corn leaves is currently unavailable. This dataset contains the algorithm for stromata contour analysis codes and the RGB images of tar spot-infected corn leaves to test and verify the algorithm. This dataset was created to test our algorithm using contour analysis-based quantification of tar spot stromata and to construct standard area diagrams for tar spot of corn. </p>