Photos | Nighttime Music Performance on Stage
Gao Shuying and a group of performers captivate the crowd at Coachella Weekend 2 Day 2 with their striking clothing and electrifying music under the stars.
BLIP-2 Description:
a group of people on stage at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
lighting instrument speaker urban theater band glove gao shuying device recreation car vehicle day sky musician weekend coachella transportation indoors accessories performing performer rock traffic light outdoor performance night glasses footwear crowd musical leisure activities guitar concert audience music light electrical speakers life stage arts hat art microphone group performance electronics shoe
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
-1.67
focal length
35mm
shutter speed
1/2000s
camera make
Canon
camera model
lens model
date
2013-04-20T21:31:28.380000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.91%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-1.39%)
harmonious color
(-0.30%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-52.29%)
intrusive object presence
(-14.53%)
lively color
(-21.55%)
low light
(99.22%)
noise
(-11.45%)
pleasant camera tilt
(-7.70%)
pleasant composition
(-85.16%)
pleasant lighting
(-61.77%)
pleasant pattern
(3.30%)
pleasant perspective
(-6.25%)
pleasant post processing
(3.48%)
pleasant reflection
(2.10%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.17%)
tastefully blurred
(-6.05%)
well chosen subject
(3.48%)
well framed subject
(-52.64%)
well timed shot
(2.44%)
all
(-9.62%)
* 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.