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Conference papers
Visual-based plant species identification from crowdsourced data
Abstract : 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.
Cited literature [6 references]
https://hal.inria.fr/hal-00642236
Contributor : Alexis Joly <>
Submitted on : Thursday, November 17, 2011 - 4:03:03 PM
Last modification on : Thursday, December 10, 2020 - 8:52:10 AM
Long-term archiving on: : Monday, December 5, 2016 - 8:23:20 AM
Contributor : Alexis Joly <>
Submitted on : Thursday, November 17, 2011 - 4:03:03 PM
Last modification on : Thursday, December 10, 2020 - 8:52:10 AM
Long-term archiving on: : Monday, December 5, 2016 - 8:23:20 AM
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PlantCrowdsourcedACM.pdf
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