Photos | Solange steals the show at Coachella
Singer Solange wows the crowd in her orange dress during her enthralling performance at Coachella 2014.
BLIP-2 Description:
a woman in an orange dress singing on stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
coachella drummer speakers footwear computer musical bracelet singer concert electrical plant urban performing arts kit lighting leisure activities recreation percussion glasses guitar hat high heel speaker device entertainer jewelry shoe string crowd musician hardware rock group performance band cord music musical instrument microphone screen instrument electronics drum performer performance art solange saturday monitor guitarist stage accessories singing
iso
1600
metering mode
5
aperture
f/2.8
focal length
70mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2014-04-19T20:39:03.970000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.85%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-0.54%)
harmonious color
(1.89%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-12.35%)
intrusive object presence
(-49.54%)
lively color
(-42.24%)
low light
(84.77%)
noise
(-3.98%)
pleasant camera tilt
(-1.56%)
pleasant composition
(-74.17%)
pleasant lighting
(-30.15%)
pleasant pattern
(1.44%)
pleasant perspective
(8.20%)
pleasant post processing
(7.68%)
pleasant reflection
(-1.23%)
pleasant symmetry
(0.42%)
sharply focused subject
(1.12%)
tastefully blurred
(6.30%)
well chosen subject
(-4.27%)
well framed subject
(12.84%)
well timed shot
(25.29%)
all
(-2.78%)
* 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.