Photos | Nightlife in Shinjuku
A group of 15 people, including 4 men and 4 adults, walk down a bustling street in Tokyo's Shinjuku neighborhood, passing illuminated billboards and storefronts. The city's metropolis glows in the background, as the crowd navigates through the urban landscape on a brisk January evening.
BLIP-2 Description:
a group 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 storefront street night computer outdoor nishishinjuku night life bag path mall pedestrian city billboards hardware shop sidewalk building lighting sign electronics outdoors handbag nature coat alley neighborhood market metropolis screen road bazaar accessories photography monitor shopping walking 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
overall
(25.27%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.54%)
harmonious color
(-1.72%)
immersiveness
(0.90%)
interaction
(1.00%)
interesting subject
(-51.37%)
intrusive object presence
(-12.50%)
lively color
(-28.86%)
low light
(77.59%)
noise
(-14.77%)
pleasant camera tilt
(-11.55%)
pleasant composition
(-87.70%)
pleasant lighting
(-67.29%)
pleasant pattern
(5.13%)
pleasant perspective
(-8.22%)
pleasant post processing
(-1.74%)
pleasant reflection
(-5.53%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.12%)
tastefully blurred
(-4.94%)
well chosen subject
(-8.52%)
well framed subject
(-54.98%)
well timed shot
(2.09%)
all
(-12.40%)
* 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.