Pl@ntNet automatically identified occurrences
Project name: Trinational Monarch Knowledge Network
Dataset summary : 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.
Dataset Stats:
Records | n/a |
Locations | n/a |
Taxa | n/a |
Date Range | - |
Access Level | Level 5 |
Code | GBIF_14D5676A |
BMDE version | BMDE-MKN-2.00 |
Last updated | 22/04/23 |