Les UMR EspaceDev, IATE, MISTEA et TETIS organisent le séminaire MIAD (Modèles informatiques autour de l’aide à la décision en environnement, agronomie et transformation).
Le prochain séminaire aura lieu Lundi 7 Décembre 2015 à la faculté des sciences de 11h à 12h.
Maximilien Servajean, Zenith, présentera un exposé intitulé Training the Crowd in Crowdsourcing.
Résumé:
Pl@ntNet is a large-scale innovative participatory sensing platform relying on image-based plants identification as a mean to enlist non-expert contributors and facilitate the production of botanical observation data. The iOs and Android mobile applications allowing to identify plants and share observations have been downloaded by more than 350K users in 170 countries and counts up to ten thousands users per day. Nowadays, the whole collection contains more than 180K images covering about 7K plant species (mainly in West Europe). However there is still a need for human validation and identification. Crowdsourcing has shown a lots of interests in the recent years. In such approaches, users are ask to resolve micro-tasks which results are then aggregated using mathematical tools in order to create knowledge. Unfortunately, asking a large set of users to identify some random plants is merely impossible. In this presentation, I will show some preliminary works we are doing to combine automatic identification tools and crowdsourcing in order to identify the maximum possible number of plants.
