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mes up with. I think you&#39;ll be impr --_000_DM6PR18MB250607BBDD47026CDB633E8EB7620DM6PR18MB2506namp_ Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable HI Ian, Thanks to you and Rick for your links to the 'Merlin' project. I hadn'= t spotted Merlin on iNaturalist. I had a quick look and it's the kind of pr= oject I'm interested in following. It looks like it's just starting but as = AI improves could be very helpful to observers like me who deal with trying= to ID a lot of similar looking species from photos. This gives me a starti= ng point for further research. All the best. Fritz ________________________________ From: naturens-owner@chebucto.ns.ca <naturens-owner@chebucto.ns.ca> on beha= lf of Ian Manning <ianmanning4@gmail.com> Sent: February 17, 2019 3:49 PM To: naturens@chebucto.ns.ca Subject: Re: [NatureNS] AI and species ID? Hi Fritz, In the last six months or so, the inaturalist website added machine learnin= g functionality to image observations, so now when an image is uploaded it = will give you suggestions based on their machine learning image recognition= model, in the video I sent before around the 3-minute mark, Alex Shepard s= ays the model can ID to common ancestor (higher level taxon) with an accura= cy of 93%. Each time an observation is uploaded and vetted as "research gra= de", that image is added to the image analysis training library (used to tr= ain the model and make it more accurate down the line). There's lots of other examples of Computer Science folks using Machine Lear= ning for this type of thing for citizen science (see Merlin like Rick menti= oned), and also a bunch of more specific/academic purposes, though as far a= s I know, none are as accessible or ambitious as iNat. Here's some more inf= o on the computer vision side of things. https://www.inaturalist.org/pages/= computer_vision_demo Cheers, IM On Sun, 17 Feb 2019 at 15:07, Fritz McEvoy <fritzmcevoy@hotmail.com<mailto:= fritzmcevoy@hotmail.com>> wrote: HI Ian, I've been on iNaturalist for a couple of years now and it is a great w= ebpage. There are lots of sites like iNaturalist online now and they are re= ally helpful for having others help you identify a species. The thing I'm asking about is a program that would allow someone to up= load a photo and/or maybe some data (size, colour, location and whatever ot= her ID info you have) of a fly, a leaf or a mouse etc. and have a AI comput= er program take that photo and/or data and give you its guess as to Genus/s= pecies identification based on it's algorithms - much like facial recogniti= on and retina scans work today. All the best. Fritz McEvoy ________________________________ From: naturens-owner@chebucto.ns.ca<mailto:naturens-owner@chebucto.ns.ca> <= naturens-owner@chebucto.ns.ca<mailto:naturens-owner@chebucto.ns.ca>> on beh= alf of Ian Manning <ianmanning4@gmail.com<mailto:ianmanning4@gmail.com>> Sent: February 17, 2019 1:43 PM To: naturens@chebucto.ns.ca<mailto:naturens@chebucto.ns.ca> Subject: Re: [NatureNS] AI and species ID? Try uploading a photo to iNaturalist and seeing what it comes up with. I th= ink you'll be impressed. Cheers, IM -- We're mapping research in Southwest Nova Scotia. Link to your research project/publications here<https://goo.gl/forms/1JkoBR= WIP3Kbvxl53>. --_000_DM6PR18MB250607BBDD47026CDB633E8EB7620DM6PR18MB2506namp_ Content-Type: text/html; charset="us-ascii" Content-Transfer-Encoding: quoted-printable <html> <head> <meta http-equiv=3D"Content-Type" content=3D"text/html; charset=3Dus-ascii"= > <style type=3D"text/css" style=3D"display:none;"> P {margin-top:0;margin-bo= ttom:0;} </style> </head> <body dir=3D"ltr"> <div style=3D"font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;= color: rgb(0, 0, 0);"> HI Ian, </div> <div style=3D"font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;= color: rgb(0, 0, 0);"> Thanks to you and Rick for your links to the 'Merl= in' project. I hadn't spotted Merlin on iNaturalist. I had a quick look and= it's the kind of project I'm interested in following. It looks like it's j= ust starting but as AI improves could be very helpful to observers like me who deal with trying to ID a lot of similar looking s= pecies from photos. This gives me a starting point for further research. Al= l the best. </div> <div style=3D"font-family: Calibri, Helvetica, sans-serif; font-size: 12pt;= color: rgb(0, 0, 0);"> Fritz</div> <div id=3D"appendonsend"></div> <hr style=3D"display:inline-block;width:98%" tabindex=3D"-1"> <div id=3D"divRplyFwdMsg" dir=3D"ltr"><font face=3D"Calibri, sans-serif" st= yle=3D"font-size:11pt" color=3D"#000000"><b>From:</b> naturens-owner@chebuc= to.ns.ca <naturens-owner@chebucto.ns.ca> on behalf of Ian Manning <= ;ianmanning4@gmail.com><br> <b>Sent:</b> February 17, 2019 3:49 PM<br> <b>To:</b> naturens@chebucto.ns.ca<br> <b>Subject:</b> Re: [NatureNS] AI and species ID?</font> <div> </div> </div> <div> <div dir=3D"ltr"> <div dir=3D"ltr">Hi Fritz, <div><br> </div> <div>In the last six months or so, the inaturalist website added machine le= arning functionality to image observations, so now when an image is uploade= d it will give you suggestions based on their machine learning image recogn= ition model, in the video I sent before around the 3-minute mark, Alex Shepard says the model can ID to com= mon ancestor (higher level taxon) with an accuracy of 93%. Each time an obs= ervation is uploaded and vetted as "research grade", that image i= s added to the image analysis training library (used to train the model and make it more accurate down the line). </= div> <div><br> </div> <div>There's lots of other examples of Computer Science folks using Machine= Learning for this type of thing for citizen science (see Merlin like Rick = mentioned), and also a bunch of more specific/academic purposes, though as = far as I know, none are as accessible or ambitious as iNat. Here's some more info on the computer vision side of= things. <a href=3D"https://www.inaturalist.org/pages/computer_vision_= demo">https://www.inaturalist.org/pages/computer_vision_demo</a></div> <div><br>