Photos | The Massive Crowd at Coachella 2008
Devesh Chauhan and Wayne Arthurs perform in front of a sea of music lovers at Coachella 2008. The speakers are blasting, the grass is alive with energy, and the crowd is in a state of pure entertainment bliss.
BLIP-2 Description:
a large crowd of people in a tentChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture urban classroom building lecture music speaker footwear baby stage arthurs hat basketball crowd outdoor entertainer performance bag shoe land glove machine devesh chauhan hall glasses indoors coachella audience ball school (ball) wayne deejay cord electronics staff theater grass sport accessories room recreation headphones speakers concert handbag event consumer
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2008-04-27T21:36:37-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.65%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.12%)
harmonious color
(0.30%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-3.43%)
intrusive object presence
(-36.57%)
lively color
(-15.47%)
low light
(25.20%)
noise
(-1.46%)
pleasant camera tilt
(-13.29%)
pleasant composition
(-83.30%)
pleasant lighting
(-19.84%)
pleasant pattern
(6.27%)
pleasant perspective
(4.98%)
pleasant post processing
(1.20%)
pleasant reflection
(2.42%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.44%)
tastefully blurred
(-4.29%)
well chosen subject
(10.64%)
well framed subject
(-40.09%)
well timed shot
(11.54%)
all
(-2.48%)
* 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.