Photos | Clubbing with the Urban Crowd
Leo Belmonte and Leda Gloria take in the energetic atmosphere of the packed nightclub, filled with deejays and entertainers spinning turntables and pumping out music for a fun-filled night of dancing and excitement.
BLIP-2 Description:
a large crowd of people at a club with dj'sChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
instrument room urban leo recreation turntable deejay coachella wristwatch accessories bag baseball thursday performance night belmonte glasses footwear + crowd musical club friday concert audience music party leda gloria interior mobile phone nightclub entertainer life handbag rekognition_c headgear hat electronics fun shoe
iso
3200
metering mode
5
aperture
f/3.2
exposure bias
0.32999999999999996
focal length
16mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2016-04-15T15:55:30.710000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.06%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.50%)
failure
(-1.32%)
harmonious color
(1.54%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-21.08%)
intrusive object presence
(-14.01%)
lively color
(-28.22%)
low light
(85.35%)
noise
(-5.18%)
pleasant camera tilt
(-10.11%)
pleasant composition
(-71.92%)
pleasant lighting
(-60.94%)
pleasant pattern
(3.32%)
pleasant perspective
(-1.74%)
pleasant post processing
(6.44%)
pleasant reflection
(-4.06%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.24%)
tastefully blurred
(-35.52%)
well chosen subject
(-4.10%)
well framed subject
(-42.97%)
well timed shot
(-4.02%)
all
(-9.21%)
* 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.