247-New Tool to Export to iNaturalist
New Tool to Export to iNaturalist https://www.digikam.org/about/features/
A new plugin was developed and tested to export photos to iNaturalist. This web-service is a social network of naturalists, citizen scientists, and biologists built on the concept of mapping and sharing observations of biodiversity across the globe. iNaturalist receive observations of plants, animals, fungi, and other organisms worldwide, and around 130K users were currently active.
iNaturalist describes itself as “an online social network of people sharing biodiversity information to help each other learn about nature”, with its primary goal being to connect people to nature. Although it is not a science project itself, iNaturalist is a platform for science and conservation efforts, providing valuable open data to research projects, land managers, other organizations, and the public.
Plugin-WebService-iNaturalist https://bugs.kde.org/show_bug.cgi?id=394544
https://tweakers.net/downloads/56854/digikam-730.html
Ben Armstrong 2018-06-10 10:13:31 UTC
See https://www.inaturalist.org/pages/developers and https://www.inaturalist.org/pages/api+reference which provides a place for developers to start on this.
I'm trying to use Digikam to establish a photo processing workflow entirely based on open source software.
On the input/import end, I'm using OsmAnd on Android to collect GPS tracks, OpenCamera on Android to take photos. Then I use Digikam to GPS correlate tracks & photos from my discrete camera (and also to supplement Android photos with DOP values from the OsmAnd tracks, which the Android platform doesn't yet support recording in EXIF natively). Currently, I do all other editing & photo processing within Digikam.
For exporting, I typically publish (currently via batch uploads of files through the web interfaces of each platform) to five different target platforms: Strava (a group for stewards of our local wilderness trail), Facebook (valuable to support discussions with a broader community not on other platforms), Flickr (mostly as fairly large, "free" cloud storage), Wordpress (self-hosted), and iNaturalist. Anything I can do to automate / optimize / cut out redundancy in my workflow would greatly improve life for me
https://www.digikam.org/about/features/
Genus Macrotera will be in the model this time around (as a leaf node, so no children in the vision model). It looks like we have just over 350 training images for the genus.
MARCH 2020
https://www.inaturalist.org/blog/31806-a-new-vision-model
JULY 2021
https://www.inaturalist.org/blog/54236-new-computer-vision-model
https://forum.inaturalist.org/t/computer-vision-update-july-2021/24728
https://forum.inaturalist.org/t/better-use-of-location-in-computer-vision-suggestions/915/47
OCT -DEC2021
https://forum.inaturalist.org/t/new-vision-model-training-started/27378/3
https://www.inaturalist.org/blog/59122-new-vision-model-training-started
https://arxiv.org/abs/2110.02095.
LEAF= s a leaf node, so no children in the vision model
LEAF=In the tree that our vision system sees, genera can be leaves if we don’t have enough photos to train any of the child species but we do have enough photos to train at the genus leve
BADGE=The record is present in the AI, CV
LEAF= level and also using what we call a common ancestor - rolling scores up the tree to find a higher level suggestion with a higher combined score. I know you've been actively investigating ML and our vision system for a while, but in case you haven't seen this video, Ken-ichi explains our process in his keynote at TDWG last year: https://www.youtube.com/watch?v=xfbabznYFV0 - the relevant content starts at about the 16 minute mark.
In that context, how to interpret a **badge on a family? Would it mean that the family itself is in the model as a leaf node (
https://tweakers.net/downloads/56854/digikam-730.html
Plugin-WebService-iNaturalist https://bugs.kde.org/show_bug.cgi?id=394544
https://www.inaturalist.org/blog/54236-new-computer-vision-model
Dit weekend was de uitzending op tv te zien waarin ik met Eddy Zoëy op pad mocht voor de otter bij RTV Utrecht. Hier kun je de aflevering van Natuurlijk Zoëy terugkijken: https://lnkd.in/dND5fQVZ
https://www.rtvutrecht.nl/gemist/uitzending/rtvutrecht/natuurlijk-zoey/20211023-1700/
https://www.youtube.com/watch?v=_J8xTnI2g88 2019-11-04 Dr. M.F. (Femke) de Jong - De oceaancirculatie in een veranderend klimaat
Dr. M.F. (Femke) de Jong - De oceaancirculatie in een veranderend klimaat
Oud-Shell topman Rein Willems voorziet noodzaak kernenergie from SHAPE Networks on Vimeo.
https://vimeo.com/633000155 Oud-Shell topman Rein Willems voorziet noodzaak kernenergie
https://vimeo.com/632475579
211014 WTRSTF Martin Melchers.mp4 Wat leeft er onder het oppervlak van het Amsterdamse havengebied? Heel wat, weet stadsecoloog Martijn Melchers. In het programma WaTeRSToF vertelt hij
211014 WTRSTF Martin Melchers.mp4 from SHAPE Networks on Vimeo.tegen presentator Bas Westerweel over exoten in de wateren van Amsterdam, Zaandam, Beverwijk en IJmuiden
https://shapenetworks.org/waterstof/nieuws/exoten-in-het-amsterdamse-havengebied-omarm-ze/
VLEN Tilburg 2021 Vleermuizen
https://www.youtube.com/watch?v=tellUZaPyYk
Tijd |
Onderdeel |
Spreker |
||
| 09:15 u. | Zaal open met stands. Koffie en thee gesponsord door de Gemeente Tilburg | |||
| 10:00 u. | Opening door Niels de Zwarte, dagvoorzitter | |||
| Lezingen | ||||
| 10:10 u. | Lessen uit zes jaar Soort Management Plan (SMP) Tilburg | Mischa Cillessen | ||
| 10:35 u. | Grootoorvleermuizen in de Groote Peel | Chris Driessen | ||
| 11:00 u. | Wat is de zoönotische potentie van vleermuisvirussen in Nederland? | Lineke Begeman | ||
| 11:25 u. | Too hot or not? De invloed van kleur en materiaal op temperatuur en relatieve luchtvochtigheid in enkelvoudige platte, vleermuiskasten in Nederland. | David Brouwer | ||
| 11:50 u. | De nacht van de Vleermuis 2021 – organiseer jij volgend jaar ook een activiteit? | Carlo Wijnen | ||
| 12:05 u. | Pauze - zelf meegebrachte lunch of te koop bij de cateraar. |
|||
| 13:15 u. | Uitreiking van de Leo Bels- prijs 2021 | Erik Korsten | ||
| 13:40 u. | Nieuwe (technologische) methoden voor monitoring van vogel- en vleermuisvoorzieningen | Sicco Jansen | ||
| 14:05 u. | Het rabiësvaccinatiebeleid voor vleermuiswerkers | Peter Lina | ||
| 14:25 u. | Koffie- en theepauze. Stands bezoeken. Koffie en thee gesponsord door de Gemeente Tilburg | |||
| 15:00 u. | Delen van korte waarnemingen/ ervaringen: Winst bij de Raad van State mede mogelijk gemaakt door de vele donaties van jullie!; Hoe mijdt je vogels uit vleermuiskasten e.a. – Meld je aan bij Niels de Zwarte voor een korte voordracht! | o.l.v. Niels de Zwarte | ||
| 16:00 u. | Gebruik van geur door vleermuizen en mogelijke toepassingen hiervan | Minka Kocks | ||
| 16:20 u. | Vleermuizen in bossen. Resultaten van onderzoek in Amelisweerd middels verschillende methodes | Marco Snijder | ||
| 16:45 u. | Afsluiting door de dagvoorzitter | |||
| 17:00 u. | Einde | |||
| 17:30 u. | Sluiting gebouw | |||
| Mogelijkheid om op eigen kosten gezamenlijk iets te gaan eten en na te spreken. |
https://www.youtube.com/watch?v=tellUZaPyYk
In de stad en op het platteland, op boerenerven en bedrijfsterreinen: Nederland telt veel lokale initiatieven om de natuur te versterken en de biodiversiteit te herstellen. Om de bundeling van deze lokale
samenwerking tot een landelijke beweging kracht bij te zetten, organiseerde de stichting
- Samen voor Biodiversiteit - Louise Vet
- Daan Bleichrodt - Project Bruisende Bedrijventerreinen
- Josien van Harten - Project Bloeiend Nieuwegein
- Jantine Schinkelshoek - Project Hoopheggen
- Initiatieven-verdienen-landelijke-uitrol
Comentários
https://nofreehunch.org/2023/08/09/image-classification-in-the-real-wild/
https://forum.inaturalist.org/t/what-i-learned-after-training-my-own-computer-vision-model-on-inats-data/44052
ooks like the web app, shut down some time back. I have restarted it and updated the links.
Just in case, this is address http://35.224.94.168:8080/ 45 (the ip address should not change)
This app visualizes model predictions for a Computer Vision model trained on iNaturalist data
You can read more about how this model was trained here
Here is a rough guide to use this app :
Look at the predictions on a Random image from the validation set
Look at the Accuracy Summary for different taxonomic groups
For example to look at the summary by Kingdom
I personally find the summary by Order most useful
Look at the errors at different levels in the taxonomic heirarchy.
For example to look at errors where the model got the Kingdom wrong !
For example to look at errors where the the model got the Species wrong
This is a personal project by Satyajit Gupte
http://35.224.94.168:8080/about
I would be happy to hear anything you have to say. You can reach me at gupte.satya or on iNat
https://nofreehunch.org/2023/08/09/image-classification-in-the-real-wild/
http://35.224.94.168:8080/
https://nofreehunch.org/2023/07/24/make-the-most-of-your-gpu/
https://nofreehunch.org/2023/03/22/ads-auction/
https://nofreehunch.org/about-me/
https://forum.inaturalist.org/t/better-use-of-location-in-computer-vision-suggestions/915/41
Google provides three models that have been trained with iNaturalist data - classification models for plants, birds, and insects. These Google models can be downloaded and used with Google's TensorFlow and TensorFlow Lite tools.
https://techbrij.com/setup-tensorflow-jupyter-notebook-vscode-deep-learning
Publicado por optilete hace 9 meses
https://techbrij.com/setup-tensorflow-jupyter-notebook-vscode-deep-learninghttps://techbrij.com/setup-tensorflow-jupyter-notebook-vscode-deep-learning
Further Reading
The Recipe from PyTorch
A nice paper on tuning hyper-parameters. The same author also came up with cyclical learning rates.
Trivial Auto Augment
How label smoothing helps
CutMix, another clever augmentation strategy , which I did not try out.
Geo Prior Model that encodes location and time
How biologists think about classification ! This is a very good read.
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