Photos | Green Lights and a Thrilling Crowd at a Concert
Performer Gary Gait rocks the stage at Coachella Weekend 2 with a crowd of enthusiastic music lovers surrounded by pulsating green lights.
BLIP-2 Description:
a crowd of people at a concert with green lightsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
group activities necklace urban rock leisure music speaker footwear eos stage music band lamp hat musician apple ml performance shoe party weekend ii fun negative hall glasses indoors coachella audience life mark electronics theater gary gait jewelry performer accessories auditorium musical instrument night recreation april spring canon lighting guitar day concert crowd
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-0.67
focal length
16mm
shutter speed
1/1600s
camera make
Canon
camera model
lens model
date
2013-04-20T16:44:28.080000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(26.98%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.49%)
harmonious color
(-5.06%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-50.83%)
intrusive object presence
(-14.62%)
lively color
(-21.20%)
low light
(95.36%)
noise
(-0.90%)
pleasant camera tilt
(-18.48%)
pleasant composition
(-84.33%)
pleasant lighting
(-64.55%)
pleasant pattern
(9.06%)
pleasant perspective
(-3.03%)
pleasant post processing
(-3.63%)
pleasant reflection
(-8.23%)
pleasant symmetry
(1.12%)
sharply focused subject
(0.05%)
tastefully blurred
(-13.32%)
well chosen subject
(3.11%)
well framed subject
(-45.70%)
well timed shot
(-3.57%)
all
(-11.53%)
* 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.