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:
bracelet tie headgear boy necklace formal plant baseball music child cap microphone hat wristwatch tree performance bag noah munck albrecht glasses kate coachella audience shorts photographer wear palm tree rekognition_c jewelry accessories musical instrument recreation handbag speakers device part photography back concert crowd electrical
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.