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/. \n\nThe 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.
","type":"OCCURRENCE","subtype":"OBSERVATION","hostingOrganizationKey":"da86174a-a605-43a4-a5e8-53d484152cd3","hostingOrganizationTitle":"Pl@ntNet","hostingCountry":"FR","publishingCountry":"FR","publishingOrganizationKey":"da86174a-a605-43a4-a5e8-53d484152cd3","publishingOrganizationTitle":"Pl@ntNet","publicationDate":"2025-04-16T12:00:00.000+00:00","modified":"2025-10-20T10:30:32.479+00:00","endorsingNodeKey":"da44cd31-5901-4687-a106-6d1c7734ee3a","license":"http://creativecommons.org/licenses/by/4.0/legalcode","keywords":["Occurrence","Observation","Occurrence"],"projectIdentifier":"observations","recordCount":2592699,"category":["CitizenScience"]},{"key":"14d5676a-2c54-4f94-9023-1e8dcd822aa0","title":"Pl@ntNet automatically identified occurrences","doi":"10.15468/mma2ec","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/. \n\nThe 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":"OCCURRENCE","subtype":"OBSERVATION","hostingOrganizationKey":"da86174a-a605-43a4-a5e8-53d484152cd3","hostingOrganizationTitle":"Pl@ntNet","hostingCountry":"FR","publishingCountry":"FR","publishingOrganizationKey":"da86174a-a605-43a4-a5e8-53d484152cd3","publishingOrganizationTitle":"Pl@ntNet","publicationDate":"2023-02-08T12:00:00.000+00:00","modified":"2025-10-20T10:09:15.897+00:00","endorsingNodeKey":"da44cd31-5901-4687-a106-6d1c7734ee3a","license":"http://creativecommons.org/licenses/by/4.0/legalcode","keywords":["Occurrence","Observation","Occurrence"],"projectIdentifier":"queries","recordCount":12142287,"category":["CitizenScience"]},{"key":"d939da39-9cf3-482c-be7c-e0e52c977733","title":"Observatoire Wallon des Ambroisies","doi":"10.15468/4erbyw","description":"The Observatoire wallon des Ambroisies (OWA) is a structure run by the Biodiversisty, Ecosystems and Landscape laboratory at Gembloux Agro-Bio Tech (ULiège) and funded by the Cellule permanente Environnement-Santé (SPW). It monitors and coordinates the management of invasive alien species of the genus Ambrosia sp. in the Walloon Region. Data are collected either directly from observers by e-mail/telephone/social networks, with photo validation, or via various encoding platforms (Observations.be; DEMNA surveys (SPW); iNaturalist; Pl@ntNET). Whenever possible, OWA contacts observers to verify presence, expand the dataset and organize a visit to initiate management. The OWA dataset is therefore fully compiled with data from participatory science.","type":"OCCURRENCE","subtype":"OBSERVATION","hostingOrganizationKey":"37e82b90-1e21-11de-ab90-f72009d2669b","hostingOrganizationTitle":"Belgian Biodiversity Platform","hostingCountry":"BE","publishingCountry":"BE","publishingOrganizationKey":"6cb013c5-97ae-4541-a2f5-40e0d13c8242","publishingOrganizationTitle":"University of Liège","publicationDate":"2025-01-07T12:00:00.000+00:00","modified":"2025-10-19T05:45:43.243+00:00","endorsingNodeKey":"fb11cfe1-ebc3-45af-9159-17d9fddbcdac","license":"http://creativecommons.org/licenses/by/4.0/legalcode","decades":[2020],"keywords":["Occurrence","Observation"],"recordCount":228,"category":["CitizenScience"]},{"key":"9c85f295-cc92-473c-969a-bb5d3eccfd0b","title":"IAS pilot - Observations of alien plant species using a vehicle-mounted camera system in Flanders (Belgium)","doi":"10.15468/wdp283","description":"IAS pilot - Observations of alien plant species using a vehicle-mounted camera system in Flanders (Belgium) is an occurrence dataset published by the Research Institute for Nature and Forest (INBO). It is part of the Biodiversa IAS pilot project (2023-2027), that implemented the monitoring of invasive alien plants using a vehicle-mounted camera system in various countries across Europe. Specifically, the CamAlien camera system (Dyrmann et al. 2024) was mounted on a car to capture images of the roadside vegetation. Data have been standardized to Darwin Core. Issues with the dataset can be reported at https://github.com/inbo/ias-pilot/issues.
Images from the cameras were processed with image recognition algorithms provided through Pl@ntNet (Espitalier et al. 2025). For the current dataset, only pre-selected species of regional importance were retained, and occurrences (images) with insufficient confidence were filtered out.
We have released this dataset to the public domain under a Creative Commons Zero waiver. We would appreciate it if you follow the INBO norms for data use (https://www.inbo.be/en/norms-data-use) when using the data. If you have any questions regarding this dataset, don't hesitate to contact us via the contact information provided in the metadata or via opendata@inbo.be.
This dataset was published as open data for the IAS pilot project (funded by Biodiversa+) and the OneSTOP project (funded by Horizon Europe), with technical support provided by the Research Institute for Nature and Forest (INBO).
","type":"OCCURRENCE","hostingOrganizationKey":"1cd669d0-80ea-11de-a9d0-f1765f95f18b","hostingOrganizationTitle":"Research Institute for Nature and Forest (INBO)","hostingCountry":"BE","publishingCountry":"BE","publishingOrganizationKey":"1cd669d0-80ea-11de-a9d0-f1765f95f18b","publishingOrganizationTitle":"Research Institute for Nature and Forest (INBO)","publicationDate":"2026-01-27T12:00:00.000+00:00","modified":"2026-01-27T01:06:46.550+00:00","endorsingNodeKey":"fb11cfe1-ebc3-45af-9159-17d9fddbcdac","license":"http://creativecommons.org/publicdomain/zero/1.0/legalcode","decades":[2020],"keywords":["Occurrence","plants","alien species","CamAlien","IAS","invasive species","non-native species"],"projectIdentifier":"IAS pilot","recordCount":13880}],"facets":[]}