Photos | Celebrating Art and Culture at Coachella Festival
Juanpi Sorín and Nicola Zagame join a crowd gathered around a stunning palm tree sculpture at Coachella Festival 2012. The beautiful blue sky and lush grass provide the perfect backdrop for this outdoor celebration of music, art, and culture.
BLIP-2 Description:
people are gathered around a large sculpture at a festivalChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
summer urban plant footwear sunlight flare outdoors transportation hat crowd tree outdoor sky shoe bag city land aircraft juanpi sorín rocket glasses coachella shorts airport zagame metropolis palm tree nature backpack grass vehicle light nicola accessories lighting part palm back concert handbag weapon
iso
800
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
16mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2012-04-15T19:20:38.820000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.82%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.51%)
harmonious color
(4.99%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-28.42%)
intrusive object presence
(-6.67%)
lively color
(-4.59%)
low light
(5.22%)
noise
(-1.64%)
pleasant camera tilt
(-13.13%)
pleasant composition
(-76.71%)
pleasant lighting
(-51.66%)
pleasant pattern
(5.25%)
pleasant perspective
(-6.44%)
pleasant post processing
(3.21%)
pleasant reflection
(-1.51%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.12%)
tastefully blurred
(-7.28%)
well chosen subject
(4.07%)
well framed subject
(-50.39%)
well timed shot
(10.77%)
all
(-5.38%)
* 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.