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:
bracelet headgear boy r yamamoto spotlight urban raul pub baseball takashi music speaker bar cap ring beverage lamp musical instrument hat counter entertainer performance party bag regal d fun club alcohol glasses teen disco audience life interior deejay electronics rumeli dhar jewelry light respect nightclub accessories room night recreation turntable handbag speakers crowd
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.