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:
group activities rock leisure music speaker footwear eos stage music band lamp hat wristwatch musician outdoor performance sky shoe bag michael ii glove blue camera coachella audience mark rekognition_c banner sign electronics performer camping accessories musical instrument recreation handbag april spring franti speakers canon guitar concert crowd
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.