Photos | Saturday Night Jam at Coachella 2012
Jordan Clark and Fionn Whitehead immerse themselves in the sea of people at Coachella 2012, surrounded by palm trees and the beautiful blue sky. The crowd is alive with the energy of the music festival, as people don their sunglasses and hats to enjoy the outdoor concert atmosphere.
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:
headgear necklace optical plant baseball jordan clark festival eos equipment hat tree outdoor saturday sky vacation party weekend ii central fun whitehead glasses coachella audience fionn mark sunglasses jewelry accessories night april spring canon part palm blue sky back concert tourist block party crowd
Detected Text
iso
200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/2500s
camera make
Canon
camera model
lens model
date
2012-04-21T15:32:15.230000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(32.20%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.80%)
failure
(-0.34%)
harmonious color
(1.05%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-38.13%)
intrusive object presence
(-25.39%)
lively color
(2.18%)
low light
(0.61%)
noise
(-2.00%)
pleasant camera tilt
(-11.73%)
pleasant composition
(-86.04%)
pleasant lighting
(-31.15%)
pleasant pattern
(2.37%)
pleasant perspective
(-9.12%)
pleasant post processing
(0.65%)
pleasant reflection
(0.58%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.46%)
tastefully blurred
(-8.54%)
well chosen subject
(11.11%)
well framed subject
(-67.58%)
well timed shot
(3.16%)
all
(-5.50%)
* 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.