Photos | Night of Loud Music and Wild Fun

Yan Zibei, Joseph Pulitzer, Aamir Rashadi Madni, and a crowd of 49 people let loose at a high-energy concert in Los Angeles. The urban lighting and deejay's performance created the perfect atmosphere for a night of recreation and entertainment.
BLIP-2 Description:
a crowd of people watching a concertMetadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
Location:
lighting speaker madni urban theater glove recreation joseph pulitzer child deejay historic indoors bag accessories rock performance auditorium night footwear crowd club yan concert audience music party boy disco entertainer zibei aamir life handbag hall rekognition_c core stage rashadi electronics fun shoe
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
2014-11-28T00:12:37.318000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(26.20%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.41%)
failure
(-1.03%)
harmonious color
(-1.85%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-32.74%)
intrusive object presence
(-6.52%)
lively color
(-13.54%)
low light
(13.50%)
noise
(-20.24%)
pleasant camera tilt
(-15.00%)
pleasant composition
(-57.91%)
pleasant lighting
(-49.44%)
pleasant pattern
(7.52%)
pleasant perspective
(-3.88%)
pleasant post processing
(0.49%)
pleasant reflection
(-9.27%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.15%)
tastefully blurred
(-7.93%)
well chosen subject
(-14.11%)
well framed subject
(-37.40%)
well timed shot
(-0.86%)
all
(-8.08%)
* 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.