Photos | Night Sky Performance
Gao Shuying, Florian Trinks, and Jon Montgomery join the crowd on stage for an electrifying concert under the stars at 2013 Coachella Weekend 2 Day 2.
BLIP-2 Description:
a crowd of people on stage at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
activities spotlight urban rock leisure music speaker footwear eos stage arts hat performing musician outdoor performance sky shoe bag trinks weekend art ii hall glasses indoors coachella audience pc gao shuying mark electronics theater performer light group performance accessories auditorium musical instrument night florian recreation handbag april spring band canon lighting laptop day concert computer crowd jon montgomery
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
-1.67
focal length
16mm
shutter speed
1/1600s
camera make
Canon
camera model
lens model
date
2013-04-20T21:30:59.670000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.05%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.53%)
failure
(-1.17%)
harmonious color
(0.76%)
immersiveness
(1.54%)
interaction
(1.00%)
interesting subject
(-40.92%)
intrusive object presence
(-17.87%)
lively color
(-22.77%)
low light
(99.66%)
noise
(-7.23%)
pleasant camera tilt
(-11.91%)
pleasant composition
(-74.46%)
pleasant lighting
(-49.10%)
pleasant pattern
(5.93%)
pleasant perspective
(-9.35%)
pleasant post processing
(0.67%)
pleasant reflection
(0.59%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.12%)
tastefully blurred
(1.54%)
well chosen subject
(-5.02%)
well framed subject
(-51.32%)
well timed shot
(9.24%)
all
(-7.57%)
* 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.