SwedishLeaf

Swedish leaf is a set of leaf outlines donated by Oskar Söderkvist, and used in his MSc thesis Computer vision classifcation of leaves from swedish trees, 2001. The tree classes are 1. Ulmus carpinifolia 2. Acer 3. Salix aurita 4. Quercus 5. Alnus incana 6. Betula pubescens 7. Salix alba 'Sericea' 8. Populus tremula 9. Ulmus glabra 10. Sorbus aucuparia 11. Salix sinerea 12. Populus 13.Tilia 14. Sorbus intermedia 15. Fagus silvatica This is a pre-processed version of the dataset saved in numpy format. The original dataset is univariate and it was obtained from here. The dataset consists of univariate time series associated with a class label. It can be loaded as follows: loaded_data = np.load("SwedishLeaf.npz") Xtr = loaded_data['Xtr'] # Training data of shape (500, 128) Ytr = loaded_data['Ytr'] # Training labels of shape (500, 1) Xte = loaded_data['Xte'] # Test data of shape (625, 128) Yte = loaded_data['Yte'] # Test labels of shape (625, 1)