Photos | Rocking the Crowd at Coachella
Michael Franti performs to a sea of fans under a blue sky at the 2009 Coachella music festival. The crowd roars along to the music, waving banners and showing off their festival clothing while taking in the outdoor performance.
BLIP-2 Description:
a crowd of people at a concert with a band on stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
instrument speaker activities glove group recreation lamp sky camping musician blue coachella wristwatch bag accessories sign performer rock outdoor performance footwear camera crowd musical banner mark guitar concert audience april music franti canon eos speakers handbag rekognition_c stage leisure music band michael hat ii spring electronics shoe
iso
100
metering mode
5
aperture
f/8
focal length
35mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2009-04-18T16:54:49.890000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.51%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-0.20%)
harmonious color
(7.45%)
immersiveness
(1.00%)
interaction
(1.00%)
interesting subject
(-23.51%)
intrusive object presence
(-5.13%)
lively color
(6.50%)
low light
(3.05%)
noise
(-0.51%)
pleasant camera tilt
(-9.97%)
pleasant composition
(-73.19%)
pleasant lighting
(-22.28%)
pleasant pattern
(6.59%)
pleasant perspective
(8.24%)
pleasant post processing
(1.33%)
pleasant reflection
(1.10%)
pleasant symmetry
(0.56%)
sharply focused subject
(0.37%)
tastefully blurred
(-6.98%)
well chosen subject
(1.49%)
well framed subject
(-44.14%)
well timed shot
(3.59%)
all
(-0.74%)
* 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.