Photos | The Legendary Duo Rocks Coachella Stage
Hip-hop icons, Snoop Dogg and Dr. Dre, perform in front of a massive crowd during their electrifying set at Coachella 2012. The stunning light design and top-notch sound system made it an unforgettable concert experience.
BLIP-2 Description:
a man on stage with a crowd of people watchingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
bracelet activities dr. dre spotlight urban rock leisure music speaker footwear stage arts hat performing musician entertainer performance shoe art night life glasses indoors coachella audience snoop electronics theater dogg jewelry performer light accessories musical instrument recreation pedro de abreu darkness lighting concert crowd cinema
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
-2
focal length
16mm
shutter speed
1/4000s
camera make
Canon
camera model
lens model
date
2012-04-15T22:49:38.110000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.67%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.35%)
failure
(-1.27%)
harmonious color
(2.51%)
immersiveness
(0.98%)
interaction
(1.00%)
interesting subject
(-14.34%)
intrusive object presence
(-5.98%)
lively color
(-0.88%)
low light
(99.90%)
noise
(-5.08%)
pleasant camera tilt
(-7.64%)
pleasant composition
(-56.10%)
pleasant lighting
(-46.80%)
pleasant pattern
(5.10%)
pleasant perspective
(9.90%)
pleasant post processing
(1.82%)
pleasant reflection
(-0.16%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.39%)
tastefully blurred
(9.05%)
well chosen subject
(0.20%)
well framed subject
(-23.99%)
well timed shot
(13.40%)
all
(-2.17%)
* 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.