Update README.md

README.md

@@ -27,15 +27,17 @@ One-hundred plant species leaves dataset. The dataset is derived from this paper
  
 (3)Dataset Information: 
  
- The original data directory contains the binary images (masks) of the leaf samples (colour images not included). There are three features for each image: Shape, Margin and Texture. For each feature, a 64 element vector is given per leaf sample. These vectors are taken as a contiguous descriptor (for shape) or histograms (for texture and margin). So, there are three different files, one for each feature problem:
- 
+ The original data directory contains the binary images (masks) of the leaf samples (colour images not included). There are three features for each image: Shape, Margin and Texture. For each feature, a 64 element vector is given per leaf sample. These vectors are taken as a contiguous descriptor (for shape) or histograms (for texture and margin). So, there are three different files, one for each feature problem. 
+ Each row has a 64-element feature vector followed by the Class label. 
+ There is a total of 1600 samples with 16 samples per leaf class (100 classes), and no missing values.
+
 ‘data_Sha_64.txt’ -> prediction based on shape
 
 ‘data_Tex_64.txt’ -> prediction based on texture
 
 ‘data_Mar_64.txt’ -> prediction based on margin
 
- Each row has a 64-element feature vector followed by the Class label. There is a total of 1600 samples with 16 samples per leaf class (100 classes), and no missing values.
+ 
 
 (4)References: