Photos | Urban Nightclub Fun

Setsuo Akinoumi, Koo Ja-cheol, Eka Tjipta WiDisc Jockeyaja, Xu Yunlong, Yasuko Tajima, and Ricardo Franco joined 34 other people at this 2010 rock concert in Sierra Madre, California. The indoor room was filled with a crowd of people rocking out to the performance, lit up by colorful lights and spotlights.
BLIP-2 Description:
a crowd of people at a nightclub with lightsMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
lighting setsuo akinoumi speaker room urban koo ricardo theater recreation spotlight yunlong indoors rock eka tjipta widisc jockeyaja performance night sasha crowd club xu concert audience yasuko tajima party interior light ja nightclub life franco stage arts hat art cheol performing electronics fun
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/3s
camera make
Canon
camera model
lens model
date
2010-03-14T03:36:13.540000-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(28.59%)
curation
(50.00%)
highlight visibility
(3.89%)
behavioral
(10.19%)
failure
(-3.20%)
harmonious color
(0.02%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(-64.31%)
intrusive object presence
(-20.46%)
lively color
(-27.00%)
low light
(99.71%)
noise
(-4.39%)
pleasant camera tilt
(-9.48%)
pleasant composition
(-81.54%)
pleasant lighting
(-59.23%)
pleasant pattern
(4.10%)
pleasant perspective
(-5.59%)
pleasant post processing
(3.79%)
pleasant reflection
(-1.90%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.17%)
tastefully blurred
(-17.96%)
well chosen subject
(12.42%)
well framed subject
(-55.52%)
well timed shot
(19.40%)
all
(-7.76%)
* 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.