Photos | Solange lights up the stage
Singer Solange delivers a stunning solo performance, wearing a red dress and using two microphones, as she electrifies the crowd with her soulful voice and powerful stage presence. The vibrant lighting adds to the electrifying atmosphere of the concert.
BLIP-2 Description:
a woman in a red dress singing on stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3744w x 5616h - (download 4k)
Usage
Dominant Color:
summer activities urban evening singing leisure bullock music speaker eos stage microphone solo performing arts musician entertainer performance art ii fashion mark cord electronics rekognition_c performer musical solange instrument recreation august fyf formal wear canon lighting device part entertainment dress back concert crowd singer electrical
iso
1600
metering mode
5
aperture
f/2.8
focal length
95mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2015-08-23T20:39:44.310000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(55.86%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.35%)
failure
(-0.56%)
harmonious color
(7.91%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(26.73%)
intrusive object presence
(-53.61%)
lively color
(-19.49%)
low light
(78.08%)
noise
(-3.66%)
pleasant camera tilt
(-3.26%)
pleasant composition
(-21.66%)
pleasant lighting
(15.93%)
pleasant pattern
(1.66%)
pleasant perspective
(23.06%)
pleasant post processing
(3.22%)
pleasant reflection
(-0.66%)
pleasant symmetry
(2.29%)
sharply focused subject
(5.74%)
tastefully blurred
(11.92%)
well chosen subject
(3.13%)
well framed subject
(65.33%)
well timed shot
(31.93%)
all
(9.66%)
* 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.