Photos | Tokyo Metropolis Skyline
A sweeping view of the bustling urban landscape from the top of Tokyo Metropolitan Government Office. The blue sky and towering skyscrapers form a striking cityscape, with streets and roads weaving through the architecture of the city below.
BLIP-2 Description:
a view of the city from a high rise buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
architecture rise neighborhood urban building apartment view metropolitan outdoors transportation area condo road outdoor intersection sky city land street art water office building waterfront metropolis cityscape nature car vehicle skyscraper skyline high downtown housing nishishinjuku photography residential aerial
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/1000s
camera make
CASIO COMPUTER CO.,LTD.
camera model
date
2002-01-07T22:45:23-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(50.68%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.47%)
failure
(-0.12%)
harmonious color
(4.19%)
immersiveness
(1.37%)
interaction
(1.00%)
interesting subject
(22.84%)
intrusive object presence
(-8.59%)
lively color
(-6.03%)
low light
(2.81%)
noise
(-4.20%)
pleasant camera tilt
(-7.80%)
pleasant composition
(-31.86%)
pleasant lighting
(-5.60%)
pleasant pattern
(9.11%)
pleasant perspective
(40.72%)
pleasant post processing
(4.82%)
pleasant reflection
(-1.39%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.46%)
tastefully blurred
(-0.19%)
well chosen subject
(-0.20%)
well framed subject
(-11.75%)
well timed shot
(3.75%)
all
(5.64%)
* 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.