Photos | Rocking to the Beat at Coachella
A lively crowd of 12 people, including Pokras Lampas, Adrien Guyon, Takehiro Kashima, and Marcus Scribner, enjoying the electrifying performance at Coachella 2016 on a Sunday night. The lighting and spotlight created a stunning atmosphere as everyone rocked out to the music in their stylish clothing and headgear.
BLIP-2 Description:
a crowd of people at a music festivalChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
art urban recreation night bracelet party glasses baby guyon flare performing interior coachella takehiro kashima necklace arts jewelry concert marcus stage lighting sunday adrien nightclub room rock spotlight scribner rock concert performance life hat light audience club fun accessories headgear crowd pokras lampas
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
16mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
overall
(36.77%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-1.03%)
harmonious color
(-1.65%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-26.44%)
intrusive object presence
(-5.54%)
lively color
(-27.54%)
low light
(99.85%)
noise
(-2.81%)
pleasant camera tilt
(-12.85%)
pleasant composition
(-67.58%)
pleasant lighting
(-68.07%)
pleasant pattern
(7.32%)
pleasant perspective
(0.26%)
pleasant post processing
(-3.38%)
pleasant reflection
(-4.92%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.22%)
tastefully blurred
(-10.30%)
well chosen subject
(1.35%)
well framed subject
(-24.46%)
well timed shot
(22.88%)
all
(-7.26%)
* 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.