Photos | Election Night Watch Party

John McCain supporters gather in a crowded room to watch the election results broadcasted on television. The room is filled with consumer electronics, formal wear, and accessories.
BLIP-2 Description:
a crowd of people in a large room watching a televisionMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
architecture tie formal urban john classroom building lecture chair speaker footwear election_day lamp hat crowd furniture flooring projection shoe present bag party reced television ack machine hardware night life fun hall glasses indoors audience school wear rekognition_c electronics theater obama screen accessories room auditorium monitor lighting seminar live day floor concert election computer mccain 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
2008-11-04T21:24:44-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(28.74%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-1.42%)
harmonious color
(-0.13%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(-50.83%)
intrusive object presence
(-14.53%)
lively color
(-39.84%)
low light
(76.42%)
noise
(-7.45%)
pleasant camera tilt
(-14.32%)
pleasant composition
(-91.02%)
pleasant lighting
(-53.27%)
pleasant pattern
(2.98%)
pleasant perspective
(-8.71%)
pleasant post processing
(3.67%)
pleasant reflection
(0.05%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.12%)
tastefully blurred
(-18.29%)
well chosen subject
(20.84%)
well framed subject
(-66.85%)
well timed shot
(3.75%)
all
(-9.79%)
* 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.