Photos | Metropolis Building with Multitude of Signs

The Tokyo Metropolitan Government Office stands tall, covered in advertisements, billboards, and street signs, making for a bustling scene in the heart of the city.
BLIP-2 Description:
a large building with many signsMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
architecture rise 禁止 neighborhood urban building 休日 apartment metropolitan outdoors transportation area 無 condo road outdoor akihabara 区域 𠪴 text city mall billboard street 飯 口 japan indoors heu metropolis bus billboards sign banner car vehicle alley light 稅 類 shopping 特定 office trip downtown high urban area housing nishishinjuku media lamppost license plate 秋葉 advertisement advertising shop の monastery symbol
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/640s
camera make
CASIO COMPUTER CO.,LTD.
camera model
date
2002-01-07T00:18:08-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(34.03%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.46%)
failure
(-0.22%)
harmonious color
(-3.90%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-49.73%)
intrusive object presence
(-4.10%)
lively color
(-6.95%)
low light
(3.93%)
noise
(-6.03%)
pleasant camera tilt
(-12.68%)
pleasant composition
(-56.49%)
pleasant lighting
(-38.87%)
pleasant pattern
(15.31%)
pleasant perspective
(8.28%)
pleasant post processing
(-2.51%)
pleasant reflection
(-4.88%)
pleasant symmetry
(2.10%)
sharply focused subject
(0.39%)
tastefully blurred
(-5.59%)
well chosen subject
(4.06%)
well framed subject
(-18.97%)
well timed shot
(3.93%)
all
(-3.80%)
* 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.