Photos | Nightclub Party with DJ Equipment

A crowd of urban dwellers enjoy a night of music and entertainment with Rumeli Dhar and Takashi Yamamoto spinning tunes on the turntable while sporting hats and headgear, surrounded by pulsating lights and powerful speakers.
BLIP-2 Description:
a crowd of people at a party with dj equipmentMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
r speaker cap room urban rumeli dhar respect recreation turntable lamp teen deejay spotlight beverage accessories bag ring baseball yamamoto jewelry performance pub raul night glasses crowd musical instrument club counter audience music party bar light interior boy disco nightclub entertainer alcohol speakers life handbag bracelet headgear regal d hat takashi electronics fun
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/4s
camera make
Canon
camera model
lens model
date
2006-09-29T01:23:04-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(26.76%)
curation
(68.37%)
highlight visibility
(5.76%)
behavioral
(70.44%)
failure
(-0.34%)
harmonious color
(0.67%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-46.04%)
intrusive object presence
(-8.52%)
lively color
(-17.04%)
low light
(84.86%)
noise
(-4.98%)
pleasant camera tilt
(-12.76%)
pleasant composition
(-89.26%)
pleasant lighting
(-53.47%)
pleasant pattern
(3.78%)
pleasant perspective
(-2.69%)
pleasant post processing
(0.46%)
pleasant reflection
(3.43%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.15%)
tastefully blurred
(-3.65%)
well chosen subject
(9.93%)
well framed subject
(-62.60%)
well timed shot
(11.02%)
all
(-7.89%)
* 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.