Photos | Election Day Crowd Watches TV
A large crowd of people, including John McCain and Brian Posehn, gather in a room to watch the election results on television. The room is filled with consumer electronics and formalwear, creating a theater-like atmosphere.
BLIP-2 Description:
a crowd of people in a large room watching a televisionChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
architecture tie posehn formal urban classroom building lecture chair speaker footwear election_day lamp wristwatch crowd furniture projection bag shoe television hardware machine hall glasses indoors audience school wear electronics theater screen accessories room monitor auditorium seminar tv john mccain day concert election computer brian handbag cinema consumer
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/15s
camera make
Canon
camera model
lens model
date
2008-11-04T21:24:46-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(29.27%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-1.17%)
harmonious color
(0.20%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(-50.10%)
intrusive object presence
(-8.59%)
lively color
(-35.86%)
low light
(80.52%)
noise
(-6.57%)
pleasant camera tilt
(-12.79%)
pleasant composition
(-87.84%)
pleasant lighting
(-46.90%)
pleasant pattern
(3.86%)
pleasant perspective
(-4.19%)
pleasant post processing
(1.39%)
pleasant reflection
(0.98%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.12%)
tastefully blurred
(-13.29%)
well chosen subject
(20.89%)
well framed subject
(-71.48%)
well timed shot
(5.22%)
all
(-8.35%)
* 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.