Pl@ntNet automatically identified occurrences
GBIF Repatriated
Dataset type
This dataset that contains primary occurrence data for species.
Description
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 can be found at https://plantnet.org/.
The occurrences in this collection are Pl@ntNet observations that have been identified only by the deep learning algorithm but which the algorithm confidence was sufficiently high to consider them as valid.
Type of content
Includes: Point occurrence data, gbif import.Citation
AFFOUARD A, JOLY A, LOMBARDO J, CHAMP J, GOEAU H, CHOUET M, GRESSE H, BOTELLA C, BONNET P (2023). Pl@ntNet automatically identified occurrences. Version 1.8. Pl@ntNet. Occurrence dataset https://doi.org/10.15468/mma2ec accessed via GBIF.org on 2024-09-17.
Digitised records
Looking up... the number of records that can be accessed through the Swedish Biodiversity Data Infrastructure. This resource was last checked for updated data on 17 Sep 2024. The most recent data was published on 08 Feb 2023.
Metadata last updated on 2024-09-17 06:35:15.0
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Licence
Creative Commons Attribution (International) 4.0
