Photos | Office Group Photo
Paul Buchheit and Jacqui Oatley posing with a crowd of 36 people in a Michigan office in 2015. The room is filled with furniture including 4 chairs, a desk, and a table, with 9 laptops and 2 monitors visible.
BLIP-2 Description:
a group of people posing for a photo in an officeChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3264w x 2448h - (download 4k)
Usage
Dominant Color:
Location:
architecture bracelet necklace castern courtroom classroom building chair mobile footwear conference oatley lamp hat furniture rug swivel jacqui manufacturing shoe art paul buchheit hardware desk glasses indoors factory audience pc school interior oak electronics fw jewelry screen table accessories room monitor office downtown laptop home plate workshop royal phone decor cup computer crowd painting
iso
100
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
42.48
longitude
-83.15
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2015-04-28T13:34:49.916000-04:00
tzoffset
-14400
tzname
America/Detroit
overall
(32.37%)
curation
(65.66%)
highlight visibility
(5.55%)
behavioral
(70.64%)
failure
(-0.24%)
harmonious color
(-2.05%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-3.98%)
intrusive object presence
(-19.29%)
lively color
(-20.54%)
low light
(15.14%)
noise
(-2.15%)
pleasant camera tilt
(-12.77%)
pleasant composition
(-80.96%)
pleasant lighting
(-46.22%)
pleasant pattern
(3.39%)
pleasant perspective
(4.13%)
pleasant post processing
(0.82%)
pleasant reflection
(-1.79%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.24%)
tastefully blurred
(-12.72%)
well chosen subject
(-5.26%)
well framed subject
(-22.38%)
well timed shot
(14.93%)
all
(-6.63%)
* 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.