Photos | Nighttime Commotion in Tokyo's Urban Metropolis
The streets of Shinjuku come alive at night as crowds make their way through the bright lights of advertisments and towering buildings.
BLIP-2 Description:
a busy street at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
tarmac lighting path city urban outdoors intersection car vehicle sky lamppost transportation cinema nishishinjuku bag billboards sign accessories area outdoor street shopping mall road night building crowd harijuku japan zebra maxell shop trip light metropolis metropolitan pedestrian handbag bus crossing stairs land advertisement hat nature crosswalk
Detected Text
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
2002-01-10T03:48:12-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(17.75%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.53%)
failure
(-4.54%)
harmonious color
(-4.19%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-66.06%)
intrusive object presence
(-6.42%)
lively color
(-37.77%)
low light
(100.00%)
noise
(-13.75%)
pleasant camera tilt
(-13.65%)
pleasant composition
(-85.74%)
pleasant lighting
(-81.30%)
pleasant pattern
(4.57%)
pleasant perspective
(-4.00%)
pleasant post processing
(-5.79%)
pleasant reflection
(-7.06%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.07%)
tastefully blurred
(-47.58%)
well chosen subject
(-8.62%)
well framed subject
(-47.09%)
well timed shot
(-2.60%)
all
(-15.38%)
* 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.