Biodiversity-DL: Create a training set on a particular group of living organisms for machine learning applications: any developer or data scientist working on a citizen observatory will be able to train an Artificial Intelligence (AI) model to identify a particular group of species very easily.
Service that allows users to create a training set on a particular group of living organisms on-demand, i.e. allowing them to solicit specific data, such as images of specific species and/or specific platforms, or images with a sufficient quality of expert validation.
Example: A data scientist or a developer who wants to train an artificial intelligence model on a particular group of species using pytorch software will be able to do it very easily.
Development & functioning :
To carry out this service will be necessary to:
Innovation for citizen observatories:
The service will allow for the aggregation of massive sets of image data related to large groups of species, using the APIs of several platforms and citizen observatories, in order to facilitate learning by efficient AI models for automated identification.
There is nothing similar available.
Questions & answers:
Developers or data scientists with some background in data engineering and Python language.
Yes, you can specify one or several GBIF data publishers.
Yes, you can integrate Biodiversity-DL into your own workflow (under the MIT open-source licence).
Yes, you can create both animal and plant species lists.
Yes, there is no limit. You can create as many training sets as you need.