Photos | Metropolis Lights: A Night Scene in Shinjuku
The bustling streets of Shinjuku come alive at night, illuminated by captivating billboards and glowing skyscrapers. With a crowd of people hurrying along the road and 4 cars zipping by, the energy of the city is palpable.
BLIP-2 Description:
a busy city street at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
neighborhood urban building metropolitan outdoors transportation area dinner road outdoor intersection sky tarmac city bag mall land street blowfish_dinner japan blowfish metropolis life nature billboards sign car vehicle light accessories shopping night trip downtown handbag lighting nishishinjuku shop crowd
flash fired
true
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/30s
camera make
CASIO COMPUTER CO.,LTD.
camera model
date
2002-01-15T08:50:26-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(28.64%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-1.00%)
harmonious color
(-3.82%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-57.37%)
intrusive object presence
(-7.13%)
lively color
(-34.40%)
low light
(100.00%)
noise
(-18.04%)
pleasant camera tilt
(-14.00%)
pleasant composition
(-83.59%)
pleasant lighting
(-69.68%)
pleasant pattern
(5.00%)
pleasant perspective
(0.75%)
pleasant post processing
(3.52%)
pleasant reflection
(-7.08%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.20%)
tastefully blurred
(-24.89%)
well chosen subject
(-0.87%)
well framed subject
(-24.82%)
well timed shot
(0.50%)
all
(-11.47%)
* 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.