Photos | Flavor Flav and the Crowd Rock Coachella 2009!
The energy was electric as Flavor Flav and 20 other performers took the stage at Coachella 2009, entertaining the massive crowd under the spotlight and speakers.
BLIP-2 Description:
a group of people on stage at a concertChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
group activities spotlight urban brass section rock leisure music speaker footwear stage microphone hat performing arts musician guitarist performance shoe bag art glove glasses indoors coachella life electronics theater performer light accessories musical instrument night recreation handbag band speakers lighting device guitar concert flavor flav crowd electrical
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.32999999999999996
focal length
16mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2009-04-19T20:25:49.240000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.44%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.56%)
failure
(-0.39%)
harmonious color
(4.99%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-9.69%)
intrusive object presence
(-11.18%)
lively color
(-37.08%)
low light
(99.61%)
noise
(-2.27%)
pleasant camera tilt
(-6.25%)
pleasant composition
(-77.93%)
pleasant lighting
(-44.97%)
pleasant pattern
(3.86%)
pleasant perspective
(-3.65%)
pleasant post processing
(2.97%)
pleasant reflection
(2.29%)
pleasant symmetry
(0.61%)
sharply focused subject
(0.27%)
tastefully blurred
(-12.65%)
well chosen subject
(-2.34%)
well framed subject
(-41.21%)
well timed shot
(23.33%)
all
(-4.60%)
* 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.