Hi Aya,
To help you identify the
photos faster, you can use the "burst" option: you can increase the time
(in seconds) during which photos will be grouped in a burst. This
should be independent of deployments so, if you have cameras taking
pictures at different places at similar times, they should appear as
separate bursts.
If you need help, you can
also create invite people from your research group or university to
join you in identifying the pictures. They will have to create an
account with Wildlife Insights and you can then invite them as an editor
(
https://www.wildlifeinsights.org/get-started/invite-team).
If
it's really urgent (a few days) and you don't have time to review all
the pictures, you can check which species are best identified by the
computer vision and only use the data for these ones. You can also start
by checking species suggested by computer-vision that you are sure are
*not* in the habitat you are studying and identify those correctly
yourself. This way, you remove outliers at least and your dataset is
cleaner.
I also have found that loading
images is a limiting factor time-wise: for example, WI takes time to
load a new page after you have identified a species. For this reason, I
try to limit the number of times WI has to load a new page by first
identifying the species that are the most common. You can select
multiple images in a page (the white button is showing in the top-left
of selected images) and bulk identify them when you reach the bottom of
the page. You can select the first picture by clicking on the top left button of the image (or doing CTRL+click), then scroll down to the last image with that species and select all these images in between with SHIFT+click on the last picture. Be careful though because that will select *all* the images between the first and last one clicked. If you don't want to select an image, you have do the SHIFT+click on the image just before, then a CTRL+click on the image just after. See "Bulk actions" here
https://www.wildlifeinsights.org/get-started/review-identifications#bursts-bulk-select
Good luck,
Yvan