Photos | Coachella 2016 Crowd at Night
A buzzing crowd of 25 urban concert-goers, including Akihiro Gono, Tom Walker, and Lachlan Sharp, party into the night at Coachella 2016, surrounded by the vibrant night sky and illuminated by the colorful lighting of the rock concert.
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:
bracelet headgear sunday necklace walker urban mobile baby hat tom outdoor sky party glove machine fun club glasses akihiro gono coachella audience soccer ball life interior electronics jewelry sport accessories nightclub room night lachlan sharp cheering lighting phone football rock concert concert crowd consumer
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
35mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2016-04-17T22:09:43.280000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(21.68%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-3.32%)
harmonious color
(-0.27%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-49.32%)
intrusive object presence
(-9.74%)
lively color
(-17.80%)
low light
(99.71%)
noise
(-10.11%)
pleasant camera tilt
(-9.94%)
pleasant composition
(-78.81%)
pleasant lighting
(-70.61%)
pleasant pattern
(5.10%)
pleasant perspective
(-7.92%)
pleasant post processing
(-1.96%)
pleasant reflection
(-5.63%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.27%)
tastefully blurred
(-26.61%)
well chosen subject
(-13.10%)
well framed subject
(-58.84%)
well timed shot
(0.01%)
all
(-12.10%)
* 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.