Photos | Scott Diamond Rocks the Crowd at Coachella 2012
Entertainer Scott Diamond performs on stage with his guitar, under the night sky and before a lively crowd at Coachella 2012 Weekend 2.
BLIP-2 Description:
a man on stage with a guitar and a crowd watchingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
group activities headgear urban leisure baseball music speaker footwear baby stage cap diamond microphone hat musician outdoor entertainer guitarist performance sky shoe bag scott weekend friday coachella audience belt deejay cord electronics rekognition_c staff performer accessories musical instrument recreation handbag pro band speakers lighting device guitar rock concert concert crowd electrical
iso
6400
metering mode
5
aperture
f/2.8
exposure bias
-2
focal length
16mm
shutter speed
1/1600s
camera make
Canon
camera model
lens model
date
2012-04-20T23:47:16.740000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.71%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-1.56%)
harmonious color
(-2.86%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-46.83%)
intrusive object presence
(-6.52%)
lively color
(-18.09%)
low light
(99.90%)
noise
(-14.36%)
pleasant camera tilt
(-6.69%)
pleasant composition
(-77.34%)
pleasant lighting
(-58.79%)
pleasant pattern
(5.05%)
pleasant perspective
(-6.51%)
pleasant post processing
(-1.38%)
pleasant reflection
(-1.97%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.27%)
tastefully blurred
(-9.58%)
well chosen subject
(-4.68%)
well framed subject
(-49.05%)
well timed shot
(6.37%)
all
(-9.20%)
* 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.