Photos | The Gray High Rise of Shinjuku

Taken during a trip to Tokyo in 2003, this photo captures the impressive architecture of the Tokyo Metropolitan Government Office building in Shinjuku. The gray exterior looms above the bustling city streets, while six people and various vehicles add life to the scene below.
BLIP-2 Description:
a building with a large gray wallMetadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
Location:
architecture tie door rise shinjuku formal urban building apartment outdoors transportation sidewalk road outdoor sky city bag mall land street japan coat indoors bicycle metropolis path wear bus koban car vehicle accessories shopping office high trip nishishinjuku license plate stop terminal shop handbag commercial
Detected Text
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/160s
camera make
CASIO COMPUTER CO.,LTD.
camera model
date
2002-01-07T23:57:51-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(27.39%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.39%)
harmonious color
(-0.16%)
immersiveness
(1.17%)
interaction
(1.00%)
interesting subject
(-57.47%)
intrusive object presence
(-13.01%)
lively color
(-6.66%)
low light
(0.51%)
noise
(-4.93%)
pleasant camera tilt
(-14.93%)
pleasant composition
(-66.85%)
pleasant lighting
(-32.54%)
pleasant pattern
(14.58%)
pleasant perspective
(4.46%)
pleasant post processing
(-2.15%)
pleasant reflection
(-8.42%)
pleasant symmetry
(1.78%)
sharply focused subject
(0.24%)
tastefully blurred
(-3.00%)
well chosen subject
(2.97%)
well framed subject
(-37.57%)
well timed shot
(7.73%)
all
(-4.51%)
* 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.