Photos | Nightlife in Urban Japan
A crowd of 19 people, including 5 adults and 3 women, walk down the streets of Shinjuku, Tokyo. The lighting from the buildings and vehicles illuminate the night sky, creating a bustling atmosphere for the pub-goers and restaurant-diners to enjoy.
BLIP-2 Description:
a crowd of people walking down a street at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
urban building pub baseball food chair bar cap beverage kobe outdoors transportation hat restaurant road jacket outdoor furniture counter sky court city bag land japan alcohol club coat indoors metropolis life nature car vehicle accessories night trip handbag lighting nishishinjuku vigil crowd cinema
flash fired
true
iso
386
metering mode
5
aperture
f/5.6
focal length
6mm
shutter speed
1/30s
camera make
OLYMPUS OPTICAL CO.,LTD
camera model
date
2003-01-07T23:35:35-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(9.59%)
curation
(50.00%)
highlight visibility
(2.60%)
behavioral
(90.76%)
failure
(-7.18%)
harmonious color
(0.28%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-61.82%)
intrusive object presence
(-5.91%)
lively color
(-46.39%)
low light
(100.00%)
noise
(-49.05%)
pleasant camera tilt
(-11.73%)
pleasant composition
(-85.30%)
pleasant lighting
(-80.52%)
pleasant pattern
(2.39%)
pleasant perspective
(-2.07%)
pleasant post processing
(2.12%)
pleasant reflection
(4.56%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.02%)
tastefully blurred
(-58.89%)
well chosen subject
(3.20%)
well framed subject
(-59.72%)
well timed shot
(-8.39%)
all
(-14.79%)
* 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.