Photos | The Ultimate Coachella Experience
Mike Matusow and Hank Green enjoying the music and the crowd during a group performance on stage under the beautiful blue sky and palm trees at Coachella 2008.
BLIP-2 Description:
a crowd of people watching a band perform on stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
bracelet activities matusow urban rock plant leisure music speaker footwear hank green stage lamp microphone hat tree musician outdoor mike performance sky shoe glasses coachella soccer ball belt audience construction cord electronics rekognition_c performer jewelry sport group performance accessories musical instrument recreation band percussion speakers device football guitar palm concert crowd drum construction crane electrical
iso
100
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2008-04-25T14:13:00-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.60%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.22%)
harmonious color
(1.74%)
immersiveness
(1.34%)
interaction
(1.00%)
interesting subject
(-40.01%)
intrusive object presence
(-7.35%)
lively color
(0.79%)
low light
(1.86%)
noise
(-0.59%)
pleasant camera tilt
(-7.18%)
pleasant composition
(-79.93%)
pleasant lighting
(-17.11%)
pleasant pattern
(4.71%)
pleasant perspective
(11.83%)
pleasant post processing
(-0.68%)
pleasant reflection
(1.88%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.42%)
tastefully blurred
(-5.76%)
well chosen subject
(5.87%)
well framed subject
(-49.51%)
well timed shot
(11.31%)
all
(-0.88%)
* 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.