Pl@ntNet automatically identified occurrences
GBIF
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 2024-11-22.
Digitised records
No records can be accessed through the BioAtlas - Atlas bioraznolikosti Hrvatske. This resource was last checked for updated data on 22 Nov 2024. The most recent data was published on 12 Nov 2024.
Metadata last updated on 2024-11-22 15:12:54.0