Photos | Koncrete Jungle Nightclub Crowd Gathers for DJ Performance
A packed room of 14 people, including women, men, and a child, watch the DJ perform under spotlights and a colorful light display at the Koncrete Jungle Nightclub. Hats and glasses are a common accessory as the audience enjoys the energetic music and atmosphere.
BLIP-2 Description:
a crowd of people in a room watching a djChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
lighting one room urban furniture dave hardware device recreation screen child mear spotlight girl koncrete accessories bag baseball performance chair night glasses crowd jungle club ufo artwork monitor blackboard live concert system music interior light ears disco junglescene left nightclub electrical computer speakers handbag earyly cbs headgear stage hurt hat microphone electronics
Detected Text
date
2002-08-29T12:42:28-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(11.46%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-1.05%)
harmonious color
(-0.74%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(-48.00%)
intrusive object presence
(-62.21%)
lively color
(-19.86%)
low light
(87.16%)
noise
(-41.31%)
pleasant camera tilt
(-14.01%)
pleasant composition
(-95.70%)
pleasant lighting
(-75.83%)
pleasant pattern
(1.78%)
pleasant perspective
(-13.59%)
pleasant post processing
(3.07%)
pleasant reflection
(3.90%)
pleasant symmetry
(0.10%)
sharply focused subject
(0.02%)
tastefully blurred
(-33.30%)
well chosen subject
(1.77%)
well framed subject
(-62.60%)
well timed shot
(1.54%)
all
(-13.64%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.