Photos | Night-time concert excitement

The crowd comes alive with fire and pyrotechnics at the 2019 concert at the Empire Polo Club, Indio. Oliver Hardy feels the energy of the 10-person crowd as they bask under the vibrant night sky and towering palm trees.
BLIP-2 Description:
a crowd of people at a concert at nightMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
ca urban rock plant festival travel stage flare oliver hardy hat empire tree states polo outdoor fireworks performance sky pyrotechnics city night sky iphone fire club indio hall monroe indoors coachella audience metropolis united theater max light auditorium trip recreation valley april spring lighting st palm xs concert california crowd apple cinema
iso
800
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
33.68
longitude
-116.24
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2019-04-19T20:50:16.098000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.70%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.33%)
failure
(-1.73%)
harmonious color
(4.41%)
immersiveness
(0.61%)
interaction
(2.00%)
interesting subject
(-11.68%)
intrusive object presence
(-2.20%)
lively color
(-4.86%)
low light
(99.90%)
noise
(-17.72%)
pleasant camera tilt
(-7.68%)
pleasant composition
(-16.55%)
pleasant lighting
(-28.66%)
pleasant pattern
(25.44%)
pleasant perspective
(4.82%)
pleasant post processing
(3.31%)
pleasant reflection
(-1.11%)
pleasant symmetry
(0.83%)
sharply focused subject
(0.78%)
tastefully blurred
(-12.72%)
well chosen subject
(-10.59%)
well framed subject
(-21.51%)
well timed shot
(11.61%)
all
(1.96%)
* 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.