Photos | Coachella Crowd Goes Wild

Michael Cudlitz, Celia Barquín Arozamena, Ken Curtis, Nolan Gould join thousands of music fans as they rave to the urban beats at Coachella 2013. The atmosphere is electric as the crowd sways to the music and capture the moment on their mobile phones. #ConcertVibes #FunTimes #CoachellaWeekend1
BLIP-2 Description:
a crowd of people at a music festivalMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
bracelet necklace cudlitz arch urban ken mobile baby nolan gould lamp hat celia barquín arozamena volleyball vacation party michael weekend fun glasses (ball) coachella audience ball life rekognition_c electronics jewelry sport accessories night spring curtis lighting phone concert tourist crowd break
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
1.33
focal length
16mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2013-04-13T22:43:14.650000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.16%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.49%)
failure
(-0.61%)
harmonious color
(1.76%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(5.93%)
intrusive object presence
(-30.30%)
lively color
(-23.01%)
low light
(78.91%)
noise
(-0.85%)
pleasant camera tilt
(-9.27%)
pleasant composition
(-71.97%)
pleasant lighting
(-15.63%)
pleasant pattern
(13.33%)
pleasant perspective
(4.30%)
pleasant post processing
(2.62%)
pleasant reflection
(5.89%)
pleasant symmetry
(1.12%)
sharply focused subject
(0.68%)
tastefully blurred
(-25.66%)
well chosen subject
(2.31%)
well framed subject
(-33.33%)
well timed shot
(5.72%)
all
(-1.90%)
* 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.