Photos | The Urban Metropolis at Night
A breathtaking view of Tokyo's cityscape from the top of the Ebisu Tower in 2003. The bustling city is made up of 13 towering buildings, condo complexes, housing, and office buildings. The aerial view captures the essence of Tokyo's bustling downtown, showcasing the intricate road networks, busy intersections, and nature that surround it.
BLIP-2 Description:
a view from the top of a building looking down on a cityChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
apartment building photography road nature skyscraper metropolis neighborhood birds residential cityscape outdoors ebisu street aerial art condo metropolitan intersection outdoor view nishishinjuku area trip tower architecture downtown building land urban high rise japan housing office city ebisu_tower eye
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/500s
camera make
CASIO COMPUTER CO.,LTD.
camera model
overall
(48.85%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.15%)
harmonious color
(2.36%)
immersiveness
(1.81%)
interaction
(1.00%)
interesting subject
(21.02%)
intrusive object presence
(-6.86%)
lively color
(-12.57%)
low light
(5.52%)
noise
(-7.91%)
pleasant camera tilt
(-7.29%)
pleasant composition
(-0.55%)
pleasant lighting
(-4.70%)
pleasant pattern
(4.66%)
pleasant perspective
(66.94%)
pleasant post processing
(3.81%)
pleasant reflection
(-10.46%)
pleasant symmetry
(0.68%)
sharply focused subject
(1.22%)
tastefully blurred
(-15.98%)
well chosen subject
(-1.93%)
well framed subject
(11.69%)
well timed shot
(1.27%)
all
(8.16%)
* 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 with AI (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.