Photos | Rocking the Crowd: The Epic Performance of Kentaro, Zack and Tom at Coachella 2011
Three music legends, Kentaro Minagawa, Zack de la Rocha and Tom Glynn-Carney, electrified the stage with their heart-pumping performance in front of a sea of fans at Coachella 2011. The dazzling stage lights and powerful speakers only added to the unforgettable rock concert experience.
BLIP-2 Description:
a man on stage with a microphone in front of a crowdMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
art urban auditorium instrument recreation music glasses kentaro minagawa de musician footwear performing leisure hall coachella activities theater musical arts band concert performer stage lighting electronics shoe tom glynn-carney zack rock spotlight rocha performance speaker group hat light saturday audience speakers accessories la indoors crowd
iso
3200
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/25s
camera make
Canon
camera model
lens model
overall
(30.27%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-0.54%)
harmonious color
(-1.52%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-37.72%)
intrusive object presence
(-10.42%)
lively color
(-40.09%)
low light
(90.23%)
noise
(-3.05%)
pleasant camera tilt
(-10.66%)
pleasant composition
(-87.11%)
pleasant lighting
(-60.94%)
pleasant pattern
(3.10%)
pleasant perspective
(-0.89%)
pleasant post processing
(-0.11%)
pleasant reflection
(-2.47%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.07%)
tastefully blurred
(-23.16%)
well chosen subject
(13.18%)
well framed subject
(-52.29%)
well timed shot
(22.63%)
all
(-8.67%)
* 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.