Photos | The Ultimate Nightlife Experience

Tracey Freeman and Beryl Cook join 41 people in the crowd at an urban nightclub in Los Angeles, enjoying the deejay's performance on the turntable and the lively music. The club's interior room is lit up with colorful lighting, making for an unforgettable concert experience.
BLIP-2 Description:
a large crowd of people at a concertMetadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Location:
urban music mobile footwear core hat tracey freeman entertainer historic performance shoe party machine fun club glasses audience disco life interior deejay cord electronics nightclub accessories room musical instrument night recreation turntable lighting laptop phone cup concert computer cook crowd beryl box consumer
iso
320
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.25
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2014-11-28T00:32:50.380000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(31.15%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.54%)
harmonious color
(-4.58%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-12.34%)
intrusive object presence
(-5.27%)
lively color
(-66.31%)
low light
(75.49%)
noise
(-3.98%)
pleasant camera tilt
(-11.32%)
pleasant composition
(-46.58%)
pleasant lighting
(-60.40%)
pleasant pattern
(9.13%)
pleasant perspective
(1.11%)
pleasant post processing
(-5.16%)
pleasant reflection
(3.39%)
pleasant symmetry
(1.15%)
sharply focused subject
(0.42%)
tastefully blurred
(-24.16%)
well chosen subject
(-6.90%)
well framed subject
(6.66%)
well timed shot
(5.58%)
all
(-9.03%)
* 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.