Photos | Lights, Crowd, Music: The Ultimate Concert Experience
Johnny Hiland, Isha Lakhani, Leda Gloria, and Mapi Galán perform in front of a massive crowd in a tent at Coachella 2012 Weekend 2. The spotlight and lighting add to the electric atmosphere as the band rocks out on stage.
BLIP-2 Description:
a band performing in a tent with a large crowdChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
weekend urban art auditorium instrument recreation lamp night leda gloria music galán musician footwear performing group performance leisure hall coachella activities theater musical piano keyboard arts band concert performer stage lighting electronics shoe johnny hiland isha friday (ball) lakhani rock spotlight ball rock concert performance guitar speaker life sport light audience mapi basketball indoors crowd
iso
6400
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
overall
(44.95%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.30%)
failure
(-0.93%)
harmonious color
(5.87%)
immersiveness
(1.39%)
interaction
(1.00%)
interesting subject
(12.15%)
intrusive object presence
(-13.21%)
lively color
(-47.12%)
low light
(98.73%)
noise
(-3.64%)
pleasant camera tilt
(-10.13%)
pleasant composition
(-64.26%)
pleasant lighting
(-37.28%)
pleasant pattern
(5.44%)
pleasant perspective
(17.50%)
pleasant post processing
(1.82%)
pleasant reflection
(3.58%)
pleasant symmetry
(3.52%)
sharply focused subject
(0.17%)
tastefully blurred
(-19.46%)
well chosen subject
(1.65%)
well framed subject
(-32.64%)
well timed shot
(18.48%)
all
(-2.08%)
* 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.