Photos | Professor Griff Dominates Coachella Crowd
Professor Griff and his band put on an electrifying performance under the spotlight at Coachella 2009. The energetic crowd can't get enough of the music and the sensational lighting adds to the unforgettable atmosphere.
BLIP-2 Description:
a group of people on stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
lighting instrument professor speaker urban activities band glove group device recreation musician coachella spotlight performer rock performance night footwear crowd musical singer mark guitar concert april music griff light canon entertainer eos electrical life rekognition_c stage leisure hat art performing arts ii microphone spring electronics shoe
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
0.5
focal length
35mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2009-04-19T20:24:15.710000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(47.71%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-1.29%)
harmonious color
(6.01%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(7.28%)
intrusive object presence
(-11.91%)
lively color
(-42.11%)
low light
(99.95%)
noise
(-2.03%)
pleasant camera tilt
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pleasant composition
(-68.07%)
pleasant lighting
(-32.62%)
pleasant pattern
(3.22%)
pleasant perspective
(-5.97%)
pleasant post processing
(7.66%)
pleasant reflection
(-2.89%)
pleasant symmetry
(0.83%)
sharply focused subject
(0.39%)
tastefully blurred
(-36.50%)
well chosen subject
(-10.04%)
well framed subject
(-36.01%)
well timed shot
(30.49%)
all
(-2.86%)
* 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.