Photos | Saturday Night Performance at Coachella 2011
Zack de la Rocha electrifies the crowd with his performance on stage as Emmanuelle Arsan and Cole Bennett look on. The spotlight captures the energy and excitement of the concert.
BLIP-2 Description:
a man on stage with a microphone and a crowdChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting instrument la speaker urban activities theater group device recreation saturday musician de coachella spotlight wristwatch indoors accessories bag performing performer zack jewelry performance night glasses camera crowd musical cole bennett concert rocha audience music emmanuelle arsan light electrical life handbag rock concert bracelet stage arts leisure music band hat art microphone electronics
iso
3200
metering mode
5
aperture
f/13
focal length
16mm
shutter speed
1/25s
camera make
Canon
camera model
lens model
date
2011-04-16T20:45:08.120000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.70%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-0.63%)
harmonious color
(-0.38%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-14.10%)
intrusive object presence
(-8.50%)
lively color
(-13.54%)
low light
(98.39%)
noise
(-3.56%)
pleasant camera tilt
(-8.15%)
pleasant composition
(-65.82%)
pleasant lighting
(-40.67%)
pleasant pattern
(10.96%)
pleasant perspective
(-3.99%)
pleasant post processing
(-2.90%)
pleasant reflection
(-1.32%)
pleasant symmetry
(0.68%)
sharply focused subject
(0.54%)
tastefully blurred
(-1.11%)
well chosen subject
(-16.91%)
well framed subject
(-38.50%)
well timed shot
(9.17%)
all
(-5.54%)
* 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.