Visual-based plant species identification from crowdsourced data

  • Authors:
  • Hervé Goëau;Alexis Joly;Souheil Selmi;Pierre Bonnet;Elise Mouysset;Laurent Joyeux;Jean-François Molino;Philippe Birnbaum;Daniel Bathelemy;Nozha Boujemaa

  • Affiliations:
  • INRIA, IMEDIA Team, Rocquencourt, France;INRIA, IMEDIA Team, Rocquencourt, France;INRIA, IMEDIA Team, Rocquencourt, France;INRA, UMR AMAP, Montpellier, France;Tela Botanica Association, Montpellier, France;INRIA, IMEDIA Team, Rocquencourt, France;IRD, UMR AMAP, Montpellier, France;CIRAD, UMR AMAP, Montpellier, France;CIRAD, BIOS, Direction and INRA, UMR AMAP, F-34398, Montpellier, France;INRIA, Saclay, France

  • Venue:
  • MM '11 Proceedings of the 19th ACM international conference on Multimedia
  • Year:
  • 2011

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Abstract

This demo presents a crowdsourcing web application dedicated to the access of botanical knowledge through automated identification of plant species by visual content. Inspired by citizen sciences, our aim is to speed up the collection and integration of raw botanical observation data, while providing to potential users an easy and efficient 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 difficult queries.