Photos | The Entertainer
A man in a baseball cap takes the stage, his microphone shining under the bright lights. The crowd eagerly awaits his performance, their eyes fixed on his every move. It's an intimate moment, one that brings people together through music and entertainment.
BLIP-2 Description:
a man standing on stage with a microphone in front of a crowdChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
bracelet headgear boy urban sessions baseball music speaker cap stage microphone hat furniture studio entertainer performance progression continue morale old hardware desk club shirt junglescene indoors teen audience deejay rekognition_c electronics jewelry photos/progression_sessions screen table accessories room monitor night recreation speakers lighting device emproves concert computer crowd cinema floggings electrical
date
2002-09-19T12:05:51-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(17.77%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-1.32%)
harmonious color
(-1.79%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-53.17%)
intrusive object presence
(-25.07%)
lively color
(-7.37%)
low light
(99.61%)
noise
(-15.77%)
pleasant camera tilt
(-9.97%)
pleasant composition
(-77.15%)
pleasant lighting
(-68.85%)
pleasant pattern
(4.44%)
pleasant perspective
(-12.48%)
pleasant post processing
(3.69%)
pleasant reflection
(5.95%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.15%)
tastefully blurred
(-7.02%)
well chosen subject
(-27.03%)
well framed subject
(-43.48%)
well timed shot
(-7.59%)
all
(-12.00%)
* 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.