Photos | Throngs at Coachella 2011
Tyler, The Creator and Abdullah bin Nasser bin Khalifa Al Thani among the sea of concert-goers gathering under the big top at Coachella 2011. The crowd dons an array of headgear and clothing, including six hats, nine glasses, a few bracelets, and two pairs of shoes.
BLIP-2 Description:
a large crowd of people in a large tentChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture bracelet headgear urban classroom building lecture footwear stage lamp outdoors hat al bin outdoor nasser shoe abdullah glove venue hall glasses friday indoors audience tyler, the creator school coachella theater jewelry arena room accessories auditorium khalifa sports concert thani crowd shelter
iso
800
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
16mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2011-04-15T17:21:54.600000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.29%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.54%)
failure
(-0.37%)
harmonious color
(0.05%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(9.89%)
intrusive object presence
(-8.57%)
lively color
(-12.73%)
low light
(81.15%)
noise
(-1.22%)
pleasant camera tilt
(-13.35%)
pleasant composition
(-65.04%)
pleasant lighting
(-46.00%)
pleasant pattern
(23.19%)
pleasant perspective
(10.97%)
pleasant post processing
(-0.60%)
pleasant reflection
(0.69%)
pleasant symmetry
(1.98%)
sharply focused subject
(0.32%)
tastefully blurred
(-2.91%)
well chosen subject
(4.03%)
well framed subject
(-23.23%)
well timed shot
(13.23%)
all
(-2.19%)
* 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.