Photos | New Year's Eve in the City
A group of six friends celebrate the start of 2002 at a bustling pub in the city, donning their warmest jackets and hats to brave the chilly night air. The glow of the outdoor lighting overhead creates a cozy atmosphere, while their bags and luggage sit nearby as they enjoy their beverages at the table.
BLIP-2 Description:
a group of people standing around a table at nightChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
beer headgear pants eve urban building pub baseball portrait chair bar cap beverage peace outdoors luggage hat crowd purse furniture jacket outdoor counter years sky container city bag glove alcohol club coat junglescene glasses leather metropolis nature accessories night handbag blazer lighting katie photography new violent
Detected Text
date
2002-08-29T12:55:54-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(21.91%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.83%)
failure
(-0.46%)
harmonious color
(0.73%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(-65.63%)
intrusive object presence
(-10.28%)
lively color
(-12.87%)
low light
(98.78%)
noise
(-31.49%)
pleasant camera tilt
(-6.30%)
pleasant composition
(-77.83%)
pleasant lighting
(-71.92%)
pleasant pattern
(2.22%)
pleasant perspective
(-3.46%)
pleasant post processing
(7.35%)
pleasant reflection
(-2.55%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.15%)
tastefully blurred
(-1.63%)
well chosen subject
(-15.95%)
well framed subject
(-22.41%)
well timed shot
(-3.57%)
all
(-11.10%)
* 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.