Photos | Red Shirted Reveler
Pat Wind, one of the ten people in attendance, sports a red shirt and takes center stage at the Summer Dreams 2002 party.
BLIP-2 Description:
a man in a red shirt at a partyChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
bracelet kitchen summer necklace wind urban cooktop portrait baby cap microphone hat pat baseball cap party fun club shirt junglescene glasses indoors audience disco pavel ruminov interior rekognition_c jewelry accessories nightclub room night lighting device part photography dreams concert crowd electrical
Detected Text
date
2002-08-29T14:35:38-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(17.68%)
curation
(65.37%)
highlight visibility
(5.53%)
behavioral
(70.50%)
failure
(-1.10%)
harmonious color
(-3.99%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-38.38%)
intrusive object presence
(-8.89%)
lively color
(6.72%)
low light
(98.93%)
noise
(-12.50%)
pleasant camera tilt
(-4.37%)
pleasant composition
(-69.14%)
pleasant lighting
(-71.63%)
pleasant pattern
(3.03%)
pleasant perspective
(-22.30%)
pleasant post processing
(-1.90%)
pleasant reflection
(2.23%)
pleasant symmetry
(0.10%)
sharply focused subject
(0.61%)
tastefully blurred
(-3.12%)
well chosen subject
(-47.19%)
well framed subject
(-4.18%)
well timed shot
(-14.40%)
all
(-13.77%)
* 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.
* 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.