Mediated Machine Vision
Making it easier to build taxon identification models using GBIF-mediated data for use in artificial intelligence applications
Model
Danish Mycological Society, Google Research. Danish Mycological Society Fungi Embedding Model. TensorFlow Hub. https://doi.org/10.26161/dhpb-3346
License: CC BY-NC 4.0
This model is unsuitable for:
- Distinguishing edible and inedible mushrooms.
- Using in foraging applications.
Data source
Frøslev T G, Heilmann-Clausen J, Lange C, Læssøe T, Petersen J H, Søchting U, Jeppesen T S, Vesterholt J (2019). Danish Mycological Society, fungal records database. Danish Mycological Society. Occurrence dataset https://doi.org/10.15468/zn159h accessed via GBIF.org on 2019-10-16.
Source data: Danish Mycological Society, fungal records database
License: CC BY-NC 4.0
Limitations
- This model may not generalize to cultivated or harvested mushrooms.
- This model may not generalize to mushroom species common to other regions.
- This model may not generalize to fungi species in non-user-captured images, such as museum specimens.
- This model may not generalize to natural world species outside of the fungi kingdom.