I made a plot of about 3000 of my photos (all posted to my photoblog over the years) according to positions in the plane that come from a neural network. Without getting into technical detail: images that are close to each other are semantically similar to each other. So there are areas of photos with dogs, others with bicycles, on the beach, etc etc. https://twitter.com/juanbuhler/status/1378455676444270593 To see the high res image and zoom in, look at the file directly: https://pbs.twimg.com/media/EyFA3LlU4Ag0QRQ?format=jpg&name=4096x4096 I thought it was an interesting way of seeing a collection of photos and discovering emerging visual themes. Also it's what I do for a living so I figured why not. Most of these were taken on Pentax cameras, so on topic! :) j -- Juan Buhler - http://www.juanbuhler.com

Very interesting. Dan Matyola *https://tinyurl.com/DJM-Pentax-Gallery <https://tinyurl.com/DJM-Pentax-Gallery>* On Sat, Apr 3, 2021 at 5:23 PM Juan Buhler <juanbuhler@gmail.com> wrote: > I made a plot of about 3000 of my photos (all posted to my photoblog over > the years) according to positions in the plane that come from a neural > network. > > Without getting into technical detail: images that are close to each other > are semantically similar to each other. So there are areas of photos with > dogs, others with bicycles, on the beach, etc etc. > > https://twitter.com/juanbuhler/status/1378455676444270593 > > To see the high res image and zoom in, look at the file directly: > > https://pbs.twimg.com/media/EyFA3LlU4Ag0QRQ?format=jpg&name=4096x4096 > > I thought it was an interesting way of seeing a collection of photos and > discovering emerging visual themes. Also it's what I do for a living so I > figured why not. > > Most of these were taken on Pentax cameras, so on topic! :) > > j > > -- > Juan Buhler - http://www.juanbuhler.com > -- > %(real_name)s Pentax-Discuss Mail List > To unsubscribe send an email to pdml-leave@pdml.net > to UNSUBSCRIBE from the PDML, please visit the link directly above and > follow the directions. >

Sooo Juan, how much is the NFD file selling for?  :-) ann On 4/3/2021 5:22 PM, Juan Buhler wrote: > I made a plot of about 3000 of my photos (all posted to my photoblog over > the years) according to positions in the plane that come from a neural > network. > > Without getting into technical detail: images that are close to each other > are semantically similar to each other. So there are areas of photos with > dogs, others with bicycles, on the beach, etc etc. > > https://twitter.com/juanbuhler/status/1378455676444270593 > > To see the high res image and zoom in, look at the file directly: > > https://pbs.twimg.com/media/EyFA3LlU4Ag0QRQ?format=jpg&name=4096x4096 > > I thought it was an interesting way of seeing a collection of photos and > discovering emerging visual themes. Also it's what I do for a living so I > figured why not. > > Most of these were taken on Pentax cameras, so on topic! :) > > j > > -- > Juan Buhler - http://www.juanbuhler.com > -- > %(real_name)s Pentax-Discuss Mail List > To unsubscribe send an email to pdml-leave@pdml.net > to UNSUBSCRIBE from the PDML, please visit the link directly above and follow the directions. -- ann sanfedele photography https://annsan.smugmug.com https://www.cafepress.com/+ann-sanfedele+gifts https://www.lulu.com/spotlight/annsan https://www.createphotocalendars.com/Shop/annsanfedelecalendarsandbooks

er. bad time for me to typo.. I meant NFT..  :-) We will soon know who has to ask what I'm talking about... Meanwhile - it is a handsome image by itself - rather Escheresque ann On 4/3/2021 6:07 PM, ann sanfedele wrote: > Sooo Juan, how much is the NFD file selling for?  :-) > > ann > > On 4/3/2021 5:22 PM, Juan Buhler wrote: >> I made a plot of about 3000 of my photos (all posted to my photoblog >> over >> the years) according to positions in the plane that come from a neural >> network. >> >> Without getting into technical detail: images that are close to each >> other >> are semantically similar to each other. So there are areas of photos >> with >> dogs, others with bicycles, on the beach, etc etc. >> >> https://twitter.com/juanbuhler/status/1378455676444270593 >> >> To see the high res image and zoom in, look at the file directly: >> >> https://pbs.twimg.com/media/EyFA3LlU4Ag0QRQ?format=jpg&name=4096x4096 >> >> I thought it was an interesting way of seeing a collection of photos and >> discovering emerging visual themes. Also it's what I do for a living >> so I >> figured why not. >> >> Most of these were taken on Pentax cameras, so on topic! :) >> >> j >> >> -- >> Juan Buhler - http://www.juanbuhler.com >> -- >> %(real_name)s Pentax-Discuss Mail List >> To unsubscribe send an email to pdml-leave@pdml.net >> to UNSUBSCRIBE from the PDML, please visit the link directly above >> and follow the directions. > -- ann sanfedele photography https://annsan.smugmug.com https://www.cafepress.com/+ann-sanfedele+gifts https://www.lulu.com/spotlight/annsan https://www.createphotocalendars.com/Shop/annsanfedelecalendarsandbooks

Interesting Juan! > On 3 Apr 2021, at 23:22, Juan Buhler <juanbuhler@gmail.com> wrote: > > I made a plot of about 3000 of my photos (all posted to my photoblog over > the years) according to positions in the plane that come from a neural > network. > > Without getting into technical detail: images that are close to each other > are semantically similar to each other. So there are areas of photos with > dogs, others with bicycles, on the beach, etc etc. > > https://twitter.com/juanbuhler/status/1378455676444270593 > > To see the high res image and zoom in, look at the file directly: > > https://pbs.twimg.com/media/EyFA3LlU4Ag0QRQ?format=jpg&name=4096x4096 > Just out of curiosity, what was the input to the Neural Network? Keywords, descriptions? > I thought it was an interesting way of seeing a collection of photos and > discovering emerging visual themes. Also it's what I do for a living so I > figured why not. > Indeed, touching on ‘big data’ ;-) Regards, JvW ------------------------------------------------------------------ Jan van Wijk; https://www.dfsee.com/gallery

> Just out of curiosity, what was the input to the Neural Network? > Keywords, descriptions? No, it's just the pixels themselves. I'm using a pretrained convolutional neural network, or CNN. You know how Google Photos is able to separate photos into categories, with dogs, food, mountains, etc? That is done with a neural network of the same type. These CNNs will output the confidence they have that an image belongs to one of many classes they were trained for. But in the process they compute a vector that sort of encodes what "features" exist in the image. Features are things like lines, dots, patterns, and also combinations of things that might form "higher level features", like eyes, bicycle wheels, etc etc. These vectors are of very high dimension, in this case 2048. It turns out that points in this 2048-D space will be close to each other if the images they come from are similar to each other. The process I'm using computes and saves this vector for each image. That alone allows me to do image similarity search, by comparing these vectors. In order to make the plot, I use a technique that "folds" those 2048 dimensions into two, so I can find a position for each image on the plane. Hopefully I succeeded in making that explanation not too technical? j -- Juan Buhler - http://www.juanbuhler.com On Sun, Apr 4, 2021 at 1:53 AM <pentax@dfsee.com> wrote: > Interesting Juan! > > > > On 3 Apr 2021, at 23:22, Juan Buhler <juanbuhler@gmail.com> wrote: > > > > I made a plot of about 3000 of my photos (all posted to my photoblog over > > the years) according to positions in the plane that come from a neural > > network. > > > > Without getting into technical detail: images that are close to each > other > > are semantically similar to each other. So there are areas of photos with > > dogs, others with bicycles, on the beach, etc etc. > > > > https://twitter.com/juanbuhler/status/1378455676444270593 > > > > To see the high res image and zoom in, look at the file directly: > > > > https://pbs.twimg.com/media/EyFA3LlU4Ag0QRQ?format=jpg&name=4096x4096 > > > > Just out of curiosity, what was the input to the Neural Network? > > Keywords, descriptions? > > > > I thought it was an interesting way of seeing a collection of photos and > > discovering emerging visual themes. Also it's what I do for a living so I > > figured why not. > > > > Indeed, touching on ‘big data’ ;-) > > > Regards, JvW > > ------------------------------------------------------------------ > Jan van Wijk; https://www.dfsee.com/gallery > > -- > %(real_name)s Pentax-Discuss Mail List > To unsubscribe send an email to pdml-leave@pdml.net > to UNSUBSCRIBE from the PDML, please visit the link directly above and > follow the directions.

On 4 Apr 2021, at 17:47, Juan Buhler <juanbuhler@gmail.com> wrote:  Just out of curiosity, what was the input to the Neural Network? Keywords, descriptions? No, it's just the pixels themselves. I'm using a pretrained convolutional neural network, [...] In order to make the plot, I use a technique that "folds" those 2048 dimensions into two, so I can find a position for each image on the plane. Hopefully I succeeded in making that explanation not too technical? Easy-peasy! https://tinyurl.com/MilagroJuan

There was something about "NFT" in the news recently. On 4/3/2021 18:14:29, ann sanfedele wrote: > er. bad time for me to typo.. I meant NFT..  :-) > > We will soon know who has to ask what I'm talking about... > > Meanwhile - it is a handsome image by itself - rather Escheresque > > ann > > > On 4/3/2021 6:07 PM, ann sanfedele wrote: >> Sooo Juan, how much is the NFD file selling for?  :-) >> >> ann >> >> On 4/3/2021 5:22 PM, Juan Buhler wrote: >>> I made a plot of about 3000 of my photos (all posted to my photoblog over >>> the years) according to positions in the plane that come from a neural >>> network. >>> >>> Without getting into technical detail: images that are close to each other >>> are semantically similar to each other. So there are areas of photos with >>> dogs, others with bicycles, on the beach, etc etc. >>> >>> https://twitter.com/juanbuhler/status/1378455676444270593 >>> >>> To see the high res image and zoom in, look at the file directly: >>> >>> https://pbs.twimg.com/media/EyFA3LlU4Ag0QRQ?format=jpg&name=4096x4096 >>> >>> I thought it was an interesting way of seeing a collection of photos and >>> discovering emerging visual themes. Also it's what I do for a living so I >>> figured why not. >>> >>> Most of these were taken on Pentax cameras, so on topic! :) >>> >>> j >>> >>> -- >>> Juan Buhler - http://www.juanbuhler.com >>> -- -- Science - Questions we may never find answers for. Religion - Answers we must never question.

Indeed.. $63,000,000 worth. but I have to say I thought it was very beautiful ann On 4/5/2021 8:45 AM, John wrote: > There was something about "NFT" in the news recently. > > On 4/3/2021 18:14:29, ann sanfedele wrote: >> er. bad time for me to typo.. I meant NFT..  :-) >> >> We will soon know who has to ask what I'm talking about... >> >> Meanwhile - it is a handsome image by itself - rather Escheresque >> >> ann >> >> >> On 4/3/2021 6:07 PM, ann sanfedele wrote: >>> Sooo Juan, how much is the NFD file selling for?  :-) >>> >>> ann >>> >>> On 4/3/2021 5:22 PM, Juan Buhler wrote: >>>> I made a plot of about 3000 of my photos (all posted to my >>>> photoblog over >>>> the years) according to positions in the plane that come from a neural >>>> network. >>>> >>>> Without getting into technical detail: images that are close to >>>> each other >>>> are semantically similar to each other. So there are areas of >>>> photos with >>>> dogs, others with bicycles, on the beach, etc etc. >>>> >>>> https://twitter.com/juanbuhler/status/1378455676444270593 >>>> >>>> To see the high res image and zoom in, look at the file directly: >>>> >>>> https://pbs.twimg.com/media/EyFA3LlU4Ag0QRQ?format=jpg&name=4096x4096 >>>> >>>> I thought it was an interesting way of seeing a collection of >>>> photos and >>>> discovering emerging visual themes. Also it's what I do for a >>>> living so I >>>> figured why not. >>>> >>>> Most of these were taken on Pentax cameras, so on topic! :) >>>> >>>> j >>>> >>>> -- >>>> Juan Buhler - http://www.juanbuhler.com >>>> -- > > > -- ann sanfedele photography https://annsan.smugmug.com https://www.cafepress.com/+ann-sanfedele+gifts https://www.lulu.com/spotlight/annsan https://www.createphotocalendars.com/Shop/annsanfedelecalendarsandbooks

Depends on how they stack the bundles. On 4/5/2021 08:58:36, ann sanfedele wrote: > Indeed.. $63,000,000 worth. > but I have to say I thought it was very beautiful > > ann > > On 4/5/2021 8:45 AM, John wrote: >> There was something about "NFT" in the news recently. >> >> On 4/3/2021 18:14:29, ann sanfedele wrote: >>> er. bad time for me to typo.. I meant NFT..  :-) >>> >>> We will soon know who has to ask what I'm talking about... >>> >>> Meanwhile - it is a handsome image by itself - rather Escheresque >>> >>> ann >>> >>> >>> On 4/3/2021 6:07 PM, ann sanfedele wrote: >>>> Sooo Juan, how much is the NFD file selling for?  :-) >>>> >>>> ann >>>> >>>> On 4/3/2021 5:22 PM, Juan Buhler wrote: >>>>> I made a plot of about 3000 of my photos (all posted to my photoblog over >>>>> the years) according to positions in the plane that come from a neural >>>>> network. >>>>> >>>>> Without getting into technical detail: images that are close to each other >>>>> are semantically similar to each other. So there are areas of photos with >>>>> dogs, others with bicycles, on the beach, etc etc. >>>>> >>>>> https://twitter.com/juanbuhler/status/1378455676444270593 >>>>> >>>>> To see the high res image and zoom in, look at the file directly: >>>>> >>>>> https://pbs.twimg.com/media/EyFA3LlU4Ag0QRQ?format=jpg&name=4096x4096 >>>>> >>>>> I thought it was an interesting way of seeing a collection of photos and >>>>> discovering emerging visual themes. Also it's what I do for a living so I >>>>> figured why not. >>>>> >>>>> Most of these were taken on Pentax cameras, so on topic! :) >>>>> >>>>> j >>>>> >>>>> -- >>>>> Juan Buhler - http://www.juanbuhler.com >>>>> -- >> >> >> > -- Science - Questions we may never find answers for. Religion - Answers we must never question.