Photos | High Energy Performance at Coachella
A man raises his hands and rocks the crowd during a passionate performance at the 2008 Coachella festival, surrounded by palm trees and speakers blasting music. Kate Albrecht and Noah Munck can be spotted in the lively audience.
BLIP-2 Description:
a man on stage with his hands up in the airChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3888w x 2592h - (download 4k)
Usage
Dominant Color:
instrument cap kate device recreation wear part tie plant tree child coachella wristwatch back noah munck formal accessories bag photography baseball jewelry performance glasses photographer crowd musical concert albrecht audience music shorts boy electrical speakers palm tree handbag rekognition_c bracelet headgear hat microphone necklace
iso
100
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
130mm
shutter speed
1/2000s
camera make
Canon
camera model
lens model
date
2008-04-25T13:09:46.710000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(52.54%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.70%)
failure
(-0.49%)
harmonious color
(4.09%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(21.85%)
intrusive object presence
(-30.30%)
lively color
(7.51%)
low light
(2.66%)
noise
(-1.86%)
pleasant camera tilt
(-3.37%)
pleasant composition
(-57.08%)
pleasant lighting
(5.09%)
pleasant pattern
(7.50%)
pleasant perspective
(8.66%)
pleasant post processing
(0.84%)
pleasant reflection
(4.39%)
pleasant symmetry
(0.42%)
sharply focused subject
(7.42%)
tastefully blurred
(45.58%)
well chosen subject
(-14.54%)
well framed subject
(-6.68%)
well timed shot
(23.11%)
all
(5.00%)
* 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.