Photos | Snoop Dogg Lights Up Coachella Crowd
Entertainer Snoop Dogg takes center stage, microphone in hand, during his solo performance at the 2012 Coachella music festival, captivating the audience with his talent and energy. The spotlight shines down on him as he performs under the light of the moon and the stars.
BLIP-2 Description:
snoop dogg performs at the 2012 coachella music festivalChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
spotlight rock singing music astronomy arts outdoors microphone wristwatch moon performing musician snoop dogg entertainer performance art glasses coachella nature performer light solo performance accessories musical instrument night recreation lighting device concert leisure activities crowd singer electrical
iso
1600
aperture
f/2.8
focal length
165mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2012-04-15T22:50:20-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(69.58%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.45%)
failure
(-0.22%)
harmonious color
(12.79%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(46.88%)
intrusive object presence
(-4.32%)
lively color
(6.34%)
low light
(83.45%)
noise
(-5.71%)
pleasant camera tilt
(-0.78%)
pleasant composition
(15.06%)
pleasant lighting
(19.70%)
pleasant pattern
(8.62%)
pleasant perspective
(19.84%)
pleasant post processing
(21.17%)
pleasant reflection
(-1.90%)
pleasant symmetry
(0.93%)
sharply focused subject
(12.65%)
tastefully blurred
(36.87%)
well chosen subject
(63.72%)
well framed subject
(59.57%)
well timed shot
(13.28%)
all
(17.69%)
* 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,
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