Photos | Working in the Digital Age
Pendleton Ward and Option J join a group of 12 people in a Los Angeles classroom, all working diligently on their laptops at two desks while surrounded by furniture and electronics.
BLIP-2 Description:
a group of people sitting at desks with laptopsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
Location:
architecture headgear necklace classroom building window chair footwear keyboard arts lamp option j hat furniture manufacturing shoe wood projection hardware machine desk glasses indoors factory pc school pendleton ward district electronics jewelry screen table accessories room monitor office laptop workshop shawn tv cup computer crowd consumer
Detected Text
iso
64
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.04
longitude
-118.24
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2014-12-02T12:06:41.860000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(25.68%)
curation
(68.38%)
highlight visibility
(5.76%)
behavioral
(70.67%)
failure
(-0.29%)
harmonious color
(2.13%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(-46.24%)
intrusive object presence
(-2.93%)
lively color
(-7.28%)
low light
(22.12%)
noise
(-3.13%)
pleasant camera tilt
(-14.04%)
pleasant composition
(-81.30%)
pleasant lighting
(-56.01%)
pleasant pattern
(6.18%)
pleasant perspective
(-7.24%)
pleasant post processing
(0.34%)
pleasant reflection
(-3.07%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.15%)
tastefully blurred
(-0.50%)
well chosen subject
(-22.25%)
well framed subject
(-70.26%)
well timed shot
(0.21%)
all
(-9.82%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.