Photos | Coachella Crowd Goes Wild

Kotozakura Masakatsu, Lena Dunham, and Hércules Brito Ruas join the sea of people as they enjoy a high-energy concert at Coachella in 2011. The exhilarating performance was amplified by the impressive lighting and sound system, making for a night to remember.
BLIP-2 Description:
a crowd of people at a concert in a large tentMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture bracelet headgear building baseball chair speaker footwear cap stage lamp wristwatch hat dunham lena furniture performance shoe gun hércules brito ruas camera hall glasses friday indoors audience shorts kotozakura masakatsu coachella electronics theater jewelry arena accessories auditorium recreation lighting concert crowd weapon
iso
800
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
16mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2011-04-15T17:11:35.630000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.28%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.49%)
failure
(-0.49%)
harmonious color
(-2.91%)
immersiveness
(0.83%)
interaction
(1.00%)
interesting subject
(-22.84%)
intrusive object presence
(-15.97%)
lively color
(-17.43%)
low light
(93.90%)
noise
(-2.17%)
pleasant camera tilt
(-15.44%)
pleasant composition
(-79.15%)
pleasant lighting
(-54.69%)
pleasant pattern
(10.21%)
pleasant perspective
(0.92%)
pleasant post processing
(-0.85%)
pleasant reflection
(-0.78%)
pleasant symmetry
(1.66%)
sharply focused subject
(0.10%)
tastefully blurred
(-4.97%)
well chosen subject
(5.72%)
well framed subject
(-43.38%)
well timed shot
(9.66%)
all
(-6.96%)
* 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.