14.15 Fotoherkenning Paddenstoelen: een vloek of een zegen?

Fotoherkenning Paddenstoelen: een vloek of een zegen? Coolia 2020(3)

In recent years there has been an explosion in the availability of apps for smartphones that can be
used to help with mushroom identification in the field. There are a number of approaches available, ranging from those apps that identify mushroom automatically based on the use of Artificial Intelligence (AI) and automated Image Recognition, through those that require the user to use traditional dichotomous keys or multi-access keys, to those that may only have a range of images without a clear system for identification of any species of interest

The coolia article seems related to this article Artificial Intelligence for plant identification on smartphones and tablets



BACHELORARBEIT MAGIC MUSHROOM APP -Mit Deep Learning essbare Pilze erkennen met Python!!!
https://www.ntb.ch/fileadmin/NTB_Institute/ICE/projekte/MagicMushroom/JUNG_R._WAGNER_D._MagicMushroom_App-Pilzklassifikation_mit_CNNs.pdf

Deep Shrooms: classifying mushroom images
https://tuomonieminen.github.io/deep-shrooms/
https://github.com/TuomoNieminen/deep-shrooms (Python)
https://teekoivi.users.cs.helsinki.fi/
https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/
https://www.youtube.com/watch?v=f6Bf3gl4hWY

Shroomnet: Kunstliches neuronales Netz f ¨ ur die Bestimmung von Pilzarten
https://www.obermeier.ch/wp-content/uploads/2018/12/ShroomNET_small.pdf !!

Artificial Intelligence for plant identification on smartphones and tablets
https://bsbi.org/wp-content/uploads/dlm_uploads/BSBI-News-144-pp34-40-plant-id-apps-final.pdf

https://web.plant.id/

TUOMAS NIEMINEN DEEP LEARNING IN QUANTIFYING VASCULAR BURDEN FROM BRAIN IMAGES
https://www.semanticscholar.org/paper/TUOMAS-NIEMINEN-DEEP-LEARNING-IN-QUANTIFYING-BURDEN-Eskola/aea24dc5822ac9f5af4801f9aaf9ab864cf23aea


Apps for identification mushrooms
Obsidentify
https://play.google.com/store/apps/details?id=org.observation.obsidentify

Deens svampeatlas
https://play.google.com/store/apps/details?id=com.noque.svampeatlas

Duits
https://play.google.com/store/apps/details?id=com.nastylion.pilz

iNaturalist Seek
https://play.google.com/store/apps/details?id=org.inaturalist.seek

Google Lens
https://play.google.com/store/apps/details?id=com.google.ar.lens

https://iphylo.blogspot.com/2020/08/taxonomic-concepts-continued-inaturalist.html

Dutch checklist downloaden
https://www.inaturalist.org/check_lists/7862-Netherlands-Check-List?page=1&view=plain

iNaturalist Seek
https://play.google.com/store/apps/details?id=org.inaturalist.seek



https://www.inaturalist.org/posts/21170-adding-photos-to-journal-and-news-posts
https://forum.inaturalist.org/t/using-identify-to-annotate-observations/1417

https://forum.inaturalist.org/t/using-identify-to-annotate-observations/1417

https://jumear.github.io/stirfry/iNat_obs_counts_by_iconic_taxa.html

Publicado por ahospers ahospers, 12 de octubre de 2020

Comentarios

We're currently training a new model based on an export in September that had ~18 million images of 35k+ taxa. It's running with the same setup that we've used on previous models, but with a lot more data, so it will probably take ~210 days and be done some time next Spring. We're simultaneously experimenting with an updated system (TensorFlow 2, Xception vs Inception) that seems to be much faster, e.g. it seems like it might do the same job in 40-60 days, so if it seems like the new system performs about the same as the old one in terms of accuracy, inference speed, etc., we might just switch over to that and have a new model deployed in January or February 2021.

FWIW, COVID has kind of put a hitch in our goal of training 2 models a year. We actually ordered some new hardware right before our local shelter in place orders were issued, and we didn't feel the benefit of the new hardware outweighed the COVID risk of spending extended time inside at the office to assemble everything and get it running. Uncertainty about when it would be safe to do so was part of why we didn't start training a new model in the spring (that and the general insanity of the pandemic), but eventually we realized things weren't likely to get much better any time soon so we just started a new training job on the old system.

The Academy is actually open to the public again now

Publicado por ahospers hace 8 meses (Marca)

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