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    DOI10.15468/gtebaa

    Conjunto de datos de registros biológicos Registrado

    Pl@ntNet observations

    Publicado por Pl@ntNet
    8 autores
    identify.plantnet.org
    LicenciaCC BY 4.0

    Descripción

    Pl@ntNet is a participatory botanical observation platform allowing to identify plants from photos (using deep learning) and to share the observations with the community. The platform has three main front-ends: Pl@ntNet androïd (http://bit.ly/1K4D1eU), Pl@ntNet iOS (http://apple.co/2cMtWgu) and Pl@ntNet web (https://identify.plantnet.org/). Pl@ntNet was founded in 2010 by a consortium of four French research organisms (CIRAD, Inria, INRAE and IRD) and is now open to other members. More information about Pl@ntNet project can be found at https://plantnet.org/.

    The observations in this collection are the ones for which the authors agree to share the associated pictures under a creative common licence and for which the species name is considered as valid.

    Cobertura geográfica

    Descripción

    Plant observations from Pl@ntNet network come from all around the world.

    Caja delimitadora
    Latitud
    De -90 a 90
    Longitud
    De -180 a 180

    Cobertura taxonómica

    Descripción

    Pl@ntNet observations focus on plants.

    Cobertura
    PlantaePlant

    Metodología

    Muestreo

    No sampling protocol, opportunistic observations by Pl@ntNet users.

    Alcance del estudio

    Entire world, Plantae.

    Control de calidad

    The validation is based on three main criteria:

    the identification confidence score greater than a given threshold, the score being inferred from (i) the output of the automated identification algorithm (categorical probability) and (ii) the species names proposed by the membersthe contributor has a reputation score higher than a given thresholdthe species name matches the checklist considered as the most trusted one for the country where the observation was done
    Pasos de la metodología

    1. This collection contains observations of plants shared by Pl@ntNet users using one the three Pl@ntNet applications (androïd, iOS, web, more information here: https://plantnet.org/). The following filters were applied:

      image license cc-*is geolocatedis valid (identification score > threshold)from a user with an enabled accountwith a known species name (valid or synonym) in Pl@ntNetspecies name != Cannabisdate_observation > 0must be in one of the WGSRPD polygon level 3 and the binomial species name (without author) must match a species of the corresponding Kew checklist

    Métricas

    Bibliografía

    • Joly, A., Goëau, H., Bonnet, P., Bakić, V., Barbe, J., Selmi, S., ... & Yahiaoui I., Carré J., Mouysset E., Molino J.-f., Boujemaa B., Barthélémy D., (2014). Interactive plant identification based on social image data. Ecological Informatics, 23, 22-34.
      Ver artículoGoogle Scholar
    • Joly, A., Bonnet, P., Goëau, H., Barbe, J., Selmi, S., Champ, J., Dufour-Kowalski, S., Affouard, A., Carré, J., Molino, J.-f., Boujemaa, N., & Barthélémy D., (2016). A look inside the Pl@ntNet experience. Multimedia Systems, 22(6), 751-766.
      Ver artículoGoogle Scholar
    • Goëau, H., Bonnet, P., Joly, A., 2017. Plant identification based on noisy web data: the amazing performance of deep learning (LifeCLEF 2017). CLEF: Conference and Labs of the Evaluation Forum, Sep 2017, Dublin, Ireland. ⟨hal-01629183⟩
      Ver artículoGoogle Scholar
    • Affouard, A., Goëau, H., Bonnet, P., Lombardo, J. C., & Joly, A., (2017). Pl@ntNet app in the era of deep learning. ICLR: International Conference on Learning Representations, Apr 2017, Toulon, France. ⟨hal-01629195⟩
      Ver artículoGoogle Scholar

    Contactos

    Registro en GBIF

    Fecha de registro
    26 de junio de 2020
    Última modificación de los metadatos
    16 de abril de 2025
    Fecha de publicación
    16 de abril de 2025
    Alojado por
    Pl@ntNet
    Instalación
    Pl@ntNet IPT
    Endpoints
    Archivo Darwin Core
    EML
    Identificador preferido
    10.15468/gtebaa
    Identificadores alternativos
    Detalles del registro de GBIF

    Cita

    AFFOUARD A, JOLY A, LOMBARDO J, CHAMP J, GOEAU H, CHOUET M, GRESSE H, BONNET P (2025). Pl@ntNet observations. Version 1.9. Pl@ntNet. Occurrence dataset https://doi.org/10.15468/gtebaa accessed via GBIF.org on 2025-08-14.