Photos | Coachella 2010 Music Festival Craze
Andrea Lattanzi, Devin Albert, Hayateumi Hidehito, and Denver Pyle capture the energetic atmosphere of the packed music festival crowd wearing their stylish accessories and eyewear.
BLIP-2 Description:
a crowd of people at a music festivalChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
architecture boy necklace urban classroom building lecture music footwear ring hat wristwatch crowd denver pyle saturday andrea lattanzi shoe bag albert hardware hall glasses indoors coachella audience teen pc school interior sunglasses electronics jewelry screen accessories auditorium monitor room devin laptop hayateumi hidehito concert computer handbag
iso
800
metering mode
5
aperture
f/4
exposure bias
1
focal length
16mm
shutter speed
1/125s
camera make
Canon
camera model
lens model
date
2010-04-17T16:40:53.740000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(42.14%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.46%)
failure
(-0.51%)
harmonious color
(0.59%)
immersiveness
(2.05%)
interaction
(1.00%)
interesting subject
(-10.69%)
intrusive object presence
(-12.21%)
lively color
(-9.03%)
low light
(40.48%)
noise
(-1.51%)
pleasant camera tilt
(-9.13%)
pleasant composition
(-62.06%)
pleasant lighting
(-33.06%)
pleasant pattern
(17.33%)
pleasant perspective
(8.20%)
pleasant post processing
(1.36%)
pleasant reflection
(-0.24%)
pleasant symmetry
(2.32%)
sharply focused subject
(0.44%)
tastefully blurred
(-7.14%)
well chosen subject
(-4.90%)
well framed subject
(-42.26%)
well timed shot
(12.23%)
all
(-1.57%)
* 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.