Photos | Spotlight on Her Voice
A woman in a beautiful white dress takes the stage, singing her heart out under the bright lights of the performance. The two guitars and microphones suggest a musical accompaniment that fills the air with sound. The audience is enraptured and the energy is electric as the performer brings her talent to the stage.
BLIP-2 Description:
a woman in a white dress singing on stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
bracelet string activities bride spotlight urban rock leisure music stage wedding photos/dubclub-tippa_irie microphone hat performing arts musician entertainer dubclub performance art led old tippa club coat junglescene electronics jewelry performer light accessories musical instrument night recreation irie lighting device guitar concert crowd singer electrical
Detected Text
date
2003-11-20T16:32:57-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(16.41%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-2.73%)
harmonious color
(-2.49%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-45.34%)
intrusive object presence
(-9.42%)
lively color
(-28.66%)
low light
(100.00%)
noise
(-20.73%)
pleasant camera tilt
(-8.85%)
pleasant composition
(-75.05%)
pleasant lighting
(-80.18%)
pleasant pattern
(4.15%)
pleasant perspective
(-4.36%)
pleasant post processing
(1.71%)
pleasant reflection
(2.58%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.10%)
tastefully blurred
(-23.41%)
well chosen subject
(-16.55%)
well framed subject
(-28.78%)
well timed shot
(-3.26%)
all
(-13.20%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.