Photos | Illuminated Metropolis
A bustling city street at night, filled with lights from towering buildings and glowing lampposts as vehicles and pedestrians traverse the urban landscape. Taken on November 18, 2003, at Cinespace Tuesday.
BLIP-2 Description:
a city street at night with a lot of lightsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture tool neighborhood urban plant building metropolitan outdoors transportation sidewalk highway area tree road outdoor freeway intersection sky tarmac city traffic land street cinespace tuesday machine metropolis path nature car vehicle light office night downtown cinespace_tuesday darkness town lighting automobile lamppost
flash fired
true
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/4s
camera make
CASIO COMPUTER CO.,LTD.
camera model
date
2003-11-18T12:55:06-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(16.10%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.46%)
failure
(-8.81%)
harmonious color
(-1.79%)
immersiveness
(1.05%)
interaction
(1.00%)
interesting subject
(-60.84%)
intrusive object presence
(-3.44%)
lively color
(-39.06%)
low light
(99.90%)
noise
(-23.83%)
pleasant camera tilt
(-16.91%)
pleasant composition
(-70.70%)
pleasant lighting
(-83.50%)
pleasant pattern
(3.98%)
pleasant perspective
(-6.86%)
pleasant post processing
(0.45%)
pleasant reflection
(-8.78%)
pleasant symmetry
(0.68%)
sharply focused subject
(0.02%)
tastefully blurred
(-53.03%)
well chosen subject
(0.04%)
well framed subject
(-34.84%)
well timed shot
(-2.58%)
all
(-14.06%)
* 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.