Photos | Gettin' Down in LA

DJ Giuseppe Arcimboldo entertains a packed house at the hottest nightclub in LA on Halloween night. The crowd was feeling the music and the energy was electric. #ClubLife #NightLife #PartyHard
BLIP-2 Description:
a dj playing music in front of a crowdMetadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
Location:
harlem room urban october apple baby recreation interior room deejay los angeles historic wristwatch downtown accessories jewelry performance states night glasses iphone footwear crowd club district continental concert audience party interior disco fall nightclub entertainer life giuseppe arcimboldo historic core united california core stream pl headphones ca entertainment electronics fun shoe
iso
250
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.25
shutter speed
1/20s
camera make
Apple
camera model
lens model
date
2014-10-31T01:52:41.640000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.76%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.41%)
failure
(-1.66%)
harmonious color
(-0.13%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-8.29%)
intrusive object presence
(-6.59%)
lively color
(-44.26%)
low light
(81.88%)
noise
(-4.69%)
pleasant camera tilt
(-10.35%)
pleasant composition
(-50.20%)
pleasant lighting
(-60.60%)
pleasant pattern
(8.79%)
pleasant perspective
(4.21%)
pleasant post processing
(0.96%)
pleasant reflection
(1.80%)
pleasant symmetry
(1.12%)
sharply focused subject
(0.22%)
tastefully blurred
(-36.89%)
well chosen subject
(-8.12%)
well framed subject
(4.31%)
well timed shot
(10.38%)
all
(-6.86%)
* 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.