Photos | Rocking the Crowd
The band, consisting of Massimo Rastelli, Nikki Pradhan, Siti Hardiyanti Rukmana, and Robbie Nevil, perform on stage at the 2010 Coachella Saturday concert while the crowd cheers them on. The speakers and lighting create a mesmerizing ambiance.
BLIP-2 Description:
a band playing on stage at a concert with a crowdChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
art urban box rekognition_c instrument recreation night music band music siti performing arts musician footwear percussion coachella theater musical nikki pradhan rukmana concert leisure activities massimo performer stage lighting electronics shoe fire rastelli robbie nevil speakers music rock spotlight performance hydrant life speaker group light drum saturday indoors hardiyanti crowd
iso
6400
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
35mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
overall
(28.74%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.28%)
failure
(-0.32%)
harmonious color
(-0.30%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-66.02%)
intrusive object presence
(-12.04%)
lively color
(-59.08%)
low light
(95.70%)
noise
(-1.76%)
pleasant camera tilt
(-13.21%)
pleasant composition
(-93.65%)
pleasant lighting
(-69.38%)
pleasant pattern
(2.83%)
pleasant perspective
(-11.07%)
pleasant post processing
(1.82%)
pleasant reflection
(-0.65%)
pleasant symmetry
(0.61%)
sharply focused subject
(0.05%)
tastefully blurred
(-20.65%)
well chosen subject
(10.52%)
well framed subject
(-49.68%)
well timed shot
(2.28%)
all
(-13.26%)
* 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.