Christopher and colleagues,

Our project has been using a program called Camelot to process camera trap
photos (https://gitlab.com/camelot-project/camelot;
http://camelot-project.readthedocs.io/en/latest/;
https://groups.google.com/forum/#!forum/camelot-project).  This java-based
program runs in a web-browser and assists in organzing and tagging photos
with species IDs.  Multiple species and numbers of individuals can be
tagged in each photo.  It is built to export a variety of CSVs to programs
like PRESENCE and the CamTrapR package in R.  I have not yet started
analysis, but we've tagged ~70,000 pics of our >80,000 for the year, and
thus far it seems to be really useful in organizing and tagging pics.  The
support for the software is also excellent, with really fast fixes for bugs
encountered.  I also like that multiple users can tag photos at once.
There are more functionalities that I haven't used yet and so won't
describe here, but so far I'd recommend the software.

Cheers,
Alex

Alex Wolf
Associate Research Specialist
Cary Institute of Ecosystem Studies
Box AB 2801 Sharon Turnpike
Millbrook, NY 12545
845-677-7600 ext. 179

*Date:*         Mon, 11 Sep 2017 16:37:00 -0400*Reply-To:*     Chris
Lortie <[log in to unmask]
<https://listserv.umd.edu/cgi-bin/wa?LOGON=A2%3Dind1709b%26L%3Decolog-l%26P%3D6169>>*Sender:*
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<https://listserv.umd.edu/cgi-bin/wa?LOGON=A2%3Dind1709b%26L%3Decolog-l%26P%3D6169>>*From:*
        Chris Lortie <[log in to unmask]
<https://listserv.umd.edu/cgi-bin/wa?LOGON=A2%3Dind1709b%26L%3Decolog-l%26P%3D6169>>*Subject:*
     ten simple steps to process cam trap photos: advice on how to
              automate*Content-Type:* text/plain; charset="windows-1252"


Dear Colleagues,

Our research team is a fan of #rstats and automation; however, we have
not fully moved all of our
processes over to this philosophy and revised our workflows. We have a
relatively high volume of cam
trap photos to process, and in the past, we did manually using this workflow:
http://www.ecoblender.org/cam-trapping-ten-simple-steps-to-process-all-those-amazing-photos/

We would really appreciate any advice, input, or experiences with your
successes in automating the
process of translating the photos into dataframes. The R-package
'camtrapR' looks promising, and we
will will explore it now. However, we would like to know if there are
any other ideas/tools/general
workflows we should consider examining. We also approached Zooniverse
to engage the public in our
photos as well, but we certainly would like a better process for our team.

Thank you in advance.

cheers,
christopher lortie

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