Photos | Coachella DJ Rocks the Crowd

Jonathan Daniel Brown spins some tunes as David Selby and Liu Haixia enjoy the lively atmosphere at Coachella 2012 Weekend 2 Saturday Night. The auditorium is packed with 18 people, all dancing and having a good time under the stage lighting. The urban vibe of the concert makes it a night to remember.
BLIP-2 Description:
a dj is playing music in front of a crowdMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting daniel haixia speaker room brown urban theater laptop liu recreation saturday part weekend coachella david selby back pc jonathan indoors bag accessories rock outdoor performance auditorium night building footwear crowd speech concert audience sports interior venue computer life handbag hall rekognition_c stage hat electronics shoe
iso
6400
metering mode
5
aperture
f/2.8
focal length
23mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2012-04-21T21:28:06.920000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.31%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.39%)
harmonious color
(5.37%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-40.04%)
intrusive object presence
(-19.73%)
lively color
(-29.64%)
low light
(94.92%)
noise
(-1.86%)
pleasant camera tilt
(-12.16%)
pleasant composition
(-74.61%)
pleasant lighting
(-28.00%)
pleasant pattern
(11.04%)
pleasant perspective
(4.73%)
pleasant post processing
(5.08%)
pleasant reflection
(0.55%)
pleasant symmetry
(1.46%)
sharply focused subject
(0.17%)
tastefully blurred
(-7.78%)
well chosen subject
(2.84%)
well framed subject
(-45.09%)
well timed shot
(1.94%)
all
(-3.95%)
* 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.