Visual-based plant species identification from crowdsourced data

Hervé Goëau (1) , Alexis Joly (1, 2) , Souheil Selmi (1) , Pierre Bonnet (3) , Elise Mouysset (4) , Laurent Joyeux (1) , Jean-François Molino (5) , Philippe Birnbaum (5) , Daniel Barthélémy (5) , Nozha Boujemaa

1 IMEDIA - Image and multimedia indexing, browsing and retrieval
2 ZENITH - Scientific Data Management
3 UMR AMAP - Botanique et Modélisation de l'Architecture des Plantes et des Végétations
4 Tela Botanica
5 UMR AMAP - BotAnique et BioinforMatique de l'Architecture des Plantes

This demo presents a crowdsourcing web application ded- icated to the access of botanical knowledge through auto- mated identi cation of plant species by visual content. In- spired by citizen sciences, our aim is to speed up the collec- tion and integration of raw botanical observation data, while providing to potential users an easy and e cient access to this botanical knowledge. The result presented during the demo is an enjoying application where anyone can play to shoot fresh cut leaves and observe the relevance of species suggested in spite of various visual di cult queries.

Domaines: Bio-informatique [q-bio.QM]; Bio-Informatique, Biologie Systémique [q-bio.QM]; Recherche d'information [cs.IR]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Multimédia [cs.MM]

Hervé Goëau, Alexis Joly, Souheil Selmi, Pierre Bonnet, Elise Mouysset, et al.. Visual-based plant species identification from crowdsourced data. MM'11 - ACM Multimedia 2011, Nov 2011, Scottsdale, United States. pp.0-0, ⟨10.1145/2072298.2072472⟩. ⟨hal-00642236⟩