Photos | Red Light Groove
A deejay entertains a crowd at a pub, holding up a red light in a dimly-lit room filled with speakers and turntables. The urban club vibe is enhanced by the electronic hardware and colorful lighting, as the crowd dances and enjoys the musical performance.
BLIP-2 Description:
a man holding up a red light in a dark roomChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
lighting housing speaker room urban furniture dining baby hardware recreation screen staircase turntable lamp deejay tv old indoors accessories beverage handrail photography xx jewelry performance pub night building architecture musical instrument club monitor proper counter music portrait bar light table dining table junglescene cup entertainer alcohol computer speakers house bracelet hat headphones living room electronics necklace steve
Detected Text
date
2003-11-13T14:01:56-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(11.15%)
curation
(65.00%)
highlight visibility
(2.45%)
behavioral
(70.41%)
failure
(-0.85%)
harmonious color
(-0.20%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-65.72%)
intrusive object presence
(-11.89%)
lively color
(-23.96%)
low light
(99.56%)
noise
(-39.67%)
pleasant camera tilt
(-14.53%)
pleasant composition
(-86.28%)
pleasant lighting
(-73.68%)
pleasant pattern
(2.08%)
pleasant perspective
(-8.92%)
pleasant post processing
(-5.77%)
pleasant reflection
(1.39%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.07%)
tastefully blurred
(-23.67%)
well chosen subject
(-11.13%)
well framed subject
(-32.45%)
well timed shot
(0.10%)
all
(-14.04%)
* 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.