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task_categories: |
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- image-classification |
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language: |
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- en |
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tags: |
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- biology |
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size_categories: |
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- 10M<n<100M |
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--- |
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One-hundred plant species leaves dataset. 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. |
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(1)Sources: |
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(a) Original owners of colour Leaves Samples: |
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James Cope, Thibaut Beghin, Paolo Remagnino, Sarah Barman. |
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The colour images are not included. |
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The Leaves were collected in the Royal Botanic Gardens, Kew, UK. |
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email: james.cope@kingston.ac.uk |
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(b) This dataset consists of work carried out by James Cope, Charles Mallah, and James Orwell. |
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(2)Donor of the database: |
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Charles Mallah, charles.mallah@kingston.ac.uk; James Cope, james.cope@kingston.ac.uk. |
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(3)Dataset Information: |
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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. |
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Each row has a 64-element feature vector followed by the Class label. |
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There is a total of 1600 samples with 16 samples per leaf class (100 classes), and no missing values. |
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‘data_Sha_64.txt’ -> prediction based on shape |
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‘data_Tex_64.txt’ -> prediction based on texture |
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‘data_Mar_64.txt’ -> prediction based on margin |
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(4)References: |
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[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. |
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[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. |
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[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. |
