Is imaging technology advanced enough to do this?

[Jorge A. Santiago-Blay]

Dear ImageJ members:


Is technology advanced enough now to do what I describe in the next few
lines? Given that Google Maps stores the data and images captured from the
roads, is there a way to automatically combine artificial intelligence
software to id the obvious objects (e.g., plants) all over the planet and
whenever one is detected, dump the image into a folder of images along with
the all-important lat, long, and the date? Once the software learns that
such and such shape is whatever is of interest to us, it can
*automatically* keep identifying the object and dumping images with the
necessary ancillary data. In other words, like the folks who advocated
phenetics in the 1960's, can machines do the grunt work currently done by
mortals? Thanks for any constructive feedback to [hidden email] .


Sincerely,


Jorge


P.S. With apologies for potential duplicate emails.


Jorge A. Santiago-Blay, PhD
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[Mario Emmenlauer-3]

Dear Jorge,

On 02.12.20 19:14, Jorge A. Santiago-Blay wrote:

> Dear ImageJ members:
>
>
> Is technology advanced enough now to do what I describe in the next few
> lines? Given that Google Maps stores the data and images captured from the
> roads, is there a way to automatically combine artificial intelligence
> software to id the obvious objects (e.g., plants) all over the planet and
> whenever one is detected, dump the image into a folder of images along with
> the all-important lat, long, and the date? Once the software learns that
> such and such shape is whatever is of interest to us, it can
> *automatically* keep identifying the object and dumping images with the
> necessary ancillary data. In other words, like the folks who advocated
> phenetics in the 1960's, can machines do the grunt work currently done by
> mortals? Thanks for any constructive feedback to [hidden email] .

The question is what precision you would need. What false positive and
false negatives can you accept? All the steps of the method you describe
are nowadays possible. But the output may still be completely useless for
you, for example because the AI may have a hard time to discriminate
individual plants in a vegetation, or because too many non-plant objects
look like plants, etc...

So you would really need to be very specific in what errors you can accept,
and then you would need to work with machine learning specialists and see
if they can achieve this precision. If people have done this before (and I
would assume they have tried) you may be best of in a very geography-
centric community or in a very machine-learning centric community. ImageJ
is a great tool but its not predominantly used for machine learning.

All the best,

    Mario

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[Herbie]

Greetings Jorge,

and thanks for elaborating on the description of the task.

If someone can do something that goes approximately in this direction,
then it is Alphabet/Google. However, I'm pretty sure that you wouldn't
get good statistics from their data...

To condition a AI/ML-structure for this task yourself appears out of reach.

Regards

Herbie

:::::::::::::::::::::::::::::::::::::::::::::::::::
Am 02.12.20 um 19:14 schrieb Jorge A. Santiago-Blay:

> Dear ImageJ members:
>
>
> Is technology advanced enough now to do what I describe in the next few
> lines? Given that Google Maps stores the data and images captured from the
> roads, is there a way to automatically combine artificial intelligence
> software to id the obvious objects (e.g., plants) all over the planet and
> whenever one is detected, dump the image into a folder of images along with
> the all-important lat, long, and the date? Once the software learns that
> such and such shape is whatever is of interest to us, it can
> *automatically* keep identifying the object and dumping images with the
> necessary ancillary data. In other words, like the folks who advocated
> phenetics in the 1960's, can machines do the grunt work currently done by
> mortals? Thanks for any constructive feedback to [hidden email] .
>
>
> Sincerely,
>
>
> Jorge
>
>
> P.S. With apologies for potential duplicate emails.
>
>
> Jorge A. Santiago-Blay, PhD
> *https://blaypublishers.com <http://blaypublishers.com>*
>
> 1. Positive experiences for authors of papers published in *LEB*
> http://blaypublishers.com/testimonials/
>
> 2. Free examples of papers published in *LEB*:
> http://blaypublishers.com/category/previous-issues/.
>
> 3. *Guidelines for Authors* and page charges of *LEB*:
> http://blaypublishers.com/archives/ *.*
>
> 4. Want to subscribe to *LEB*? http://blaypublishers.com/subscriptions/
>
> http://blayjorge.wordpress.com/
>
> http://paleobiology.si.edu/staff/individuals/santiagoblay.cfm
>
> --
> ImageJ mailing list: http://imagej.nih.gov/ij/list.html
>

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