Photos | Party Like It's 2002
A man stands confidently in front of a lively crowd, sporting a sleek jacket and stylish jeans. Amidst the pulsing nightclub atmosphere, he commands the attention of the room. Behind him, people enjoy drinks and snacks while admiring the electronic hardware on display. This vibrant snapshot captures the excitement of an unforgettable night out in the urban scene.
BLIP-2 Description:
a man standing in front of a crowd at a partyChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
jeans necklace appliance urban pub portrait microwave bar beverage luggage hat wristwatch oven jacket counter container party old hardware fun club alcohol coat junglescene glasses interior electronics jewelry screen respect accessories nightclub monitor room night device tv photography computer crowd electrical
Detected Text
date
2002-09-27T12:01:54-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(9.97%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.61%)
failure
(-0.95%)
harmonious color
(-2.01%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-72.36%)
intrusive object presence
(-52.05%)
lively color
(0.39%)
low light
(98.93%)
noise
(-8.47%)
pleasant camera tilt
(-9.65%)
pleasant composition
(-84.03%)
pleasant lighting
(-67.24%)
pleasant pattern
(1.98%)
pleasant perspective
(-12.12%)
pleasant post processing
(1.54%)
pleasant reflection
(-0.69%)
pleasant symmetry
(0.07%)
sharply focused subject
(0.17%)
tastefully blurred
(-6.84%)
well chosen subject
(-38.96%)
well framed subject
(-38.35%)
well timed shot
(-16.92%)
all
(-14.56%)
* 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.