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Mediated Machine Vision

Making it easier to build taxon identification models using GBIF-mediated data for use in artificial intelligence applications

  • Danish Mycological Society Fungi Embedding Model
  • Danish Mycological Society, fungal records database

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.
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