Photos | Stage Performance with Flags at Coachella 2008
A-Trak and Chekrovolu Swuro lead a group of 19 performers in a dance pose on stage with palm trees, speakers, and a spotlight illuminating their colorful clothing and flags at Coachella 2008 music festival.
BLIP-2 Description:
a group of people on stage with flagsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
group activities formal flag spotlight plant leisure music speaker footwear stage arts lamp microphone hat performing tree pose performance trak shoe bag art glasses coachella wear palm tree rekognition_c electronics performer light accessories handbag speakers dance device dress chekrovolu swuro concert crowd dancing electrical
iso
100
metering mode
5
aperture
f/4
exposure bias
0.5
focal length
20mm
shutter speed
1/50s
camera make
Canon
camera model
lens model
date
2008-04-27T18:58:18-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.80%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.27%)
harmonious color
(-1.59%)
immersiveness
(0.63%)
interaction
(1.00%)
interesting subject
(11.71%)
intrusive object presence
(-24.34%)
lively color
(-22.28%)
low light
(29.66%)
noise
(-1.64%)
pleasant camera tilt
(-10.82%)
pleasant composition
(-57.71%)
pleasant lighting
(-56.25%)
pleasant pattern
(7.23%)
pleasant perspective
(3.67%)
pleasant post processing
(1.96%)
pleasant reflection
(-2.04%)
pleasant symmetry
(1.29%)
sharply focused subject
(0.17%)
tastefully blurred
(-18.53%)
well chosen subject
(-16.77%)
well framed subject
(-2.03%)
well timed shot
(26.34%)
all
(-4.25%)
* 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.