Automated flower classification over a large number of classes
We investigate to what extent combinations of features can improve classification performance on a large dataset of similar classes. To this end we introduce a 103 class flower dataset. We compute four different features for the flowers, each describing different aspects, namely the local shape/text...
| Main Authors: | , |
|---|---|
| Format: | Conference item |
| Sprog: | English |
| Udgivet: |
IEEE
2008
|