Journal archives for May 2021

May 11, 2021

We've cracked 1600 members!

Hi fish fans,
Our Australasian Fishes Project community continues to flourish.
In early May we cracked 1600 members. We are delighted by this progress. At that time the project contained observations from 3764 people. Doing the maths, just over 40% of contributors have become project members, which is great.
Understandably there are good reasons why some people decide not to accept the invitation to join the project. Some people live in other parts of the world and have only take photos of fishes on their travels and are unlikely to return (certainly not in the foreseeable future). Others are primarily interested in life forms other than fishes (egads! 😊) and feel that they can make little contribution to Australasian Fishes. Some people appear to add a few observations then lose interest in contributing to iNaturalist. Presumably there are users who worry that ‘signing up’ will commit them to something.
There are however, iNaturalist users who regularly upload fishy observations but haven’t joined the project or forget to choose Australasian Fishes when they upload their observations. If you have dive buddies or fishing mates who fit this category, please encourage them to join the project and tag Australasian Fishes when uploading their next observation. The more observations the project contains, the more powerful it becomes.
As the graph shows, membership has risen steadily over recent years.
Thank you troops. 😊
PS. Since starting to write this journal entry, another 11 users have joined the project.
Posted on May 11, 2021 03:25 by markmcg markmcg | 6 comments | Leave a comment

May 03, 2021

Identify fishes with Computer Vision

Have you used iNaturalist’s Computer Vision technology? If so, you may be interested to read about how it works, its history and timeline at https://www.inaturalist.org/pages/computer_vision_demo. If not, you’re in for a treat.
All you need to do to have Computer Vision identify the fish in your observation is to click on the ‘Suggest an Identification’ tab (see 1, above) then click in the ‘Species name’ box (see 2, above). Computer Vision will return a list of likely species based on resemblance and locality as shown above. Click on "include suggestions not seen nearby" to widen your search parameters.
If you would like to identify a fish (or any organism for that matter) but don’t want to upload the observation, try the Computer Vision demo. https://www.inaturalist.org/computer_vision_demo
I take my hat off to the team at iNaturalist for developing Computer Vision and for making iNat the fantastic platform we all enjoy.
Posted on May 03, 2021 23:45 by markmcg markmcg | 6 comments | Leave a comment