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:
speaker dress activities dancing group device wear lamp plant tree coachella spotlight formal accessories bag performing performer performance glasses footwear crowd concert music light chekrovolu swuro electrical speakers palm tree handbag rekognition_c stage arts leisure dance hat art flag trak microphone pose electronics shoe
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.