Create README.md

README.md

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+---
+task_categories:
+- image-classification
+language:
+- en
+tags:
+- biology
+size_categories:
+- 1M<n<10M
+---
+Description: One-hundred plant species leaves dataset (Class = Shape).
+
+The dataset is derived from this paper: Charles Mallah, James Cope, James Orwell. Plant Leaf Classification Using Probabilistic Integration of Shape, Texture and Margin Features. Signal Processing, Pattern Recognition and Applications, in press. 2013.
+
+Sources: 
+(a) Original owners of colour Leaves Samples:
+ James Cope, Thibaut Beghin, Paolo Remagnino, Sarah Barman.  
+ The colour images are not included.  
+ The Leaves were collected in the Royal Botanic Gardens, Kew, UK.  
+ email: james.cope@kingston.ac.uk  
+ 
+(b) This dataset consists of work carried out by James Cope, Charles Mallah, and James Orwell.  
+ Donor of the database:  Charles Mallah, charles.mallah@kingston.ac.uk; James Cope, james.cope@kingston.ac.uk.  
+ 
+ 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:
+‘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.
+
+References:
+[1]Charles Mallah, James Cope, James Orwell. Plant Leaf Classification Using Probabilistic Integration of Shape, Texture and Margin Features. Signal Processing, Pattern Recognition and Applications, in press.
+[2]J. Cope, P. Remagnino, S. Barman, and P. Wilkin. Plant texture classification using gabor co-occurrences. Advances in Visual Computing, pages 699-677, 2010.
+[3]T. Beghin, J. Cope, P. Remagnino, and S. Barman. Shape and texture based plant leaf classification. In: Advanced Concepts for Intelligent Vision Systems, pages 345-353. Springer, 2010.