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...
| Autori principali: | , |
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| Natura: | Conference item |
| Lingua: | English |
| Pubblicazione: |
IEEE
2008
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