Photos | Metropolis of Electronics
A towering skyscraper in Akihabara, Tokyo's electronics district, displays a multitude of advertisements on its massive outdoor screens, making it a true metropolis of electronics.
BLIP-2 Description:
a tall building with a large sign on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
electromles housing esncang city free libre urban outdoors billboard panasonic hardware home screen shopping de tv high cinema downtown nishishinjuku area billboards sign outdoor street road media building akihabara architecture japan skyscraper banner monitor shop trip text office rise metropolis duty advertising neighborhood condo mall nationa computer sto advertisement electronics 便
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/160s
camera make
CASIO COMPUTER CO.,LTD.
camera model
date
2002-01-07T01:42:30-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(36.01%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.49%)
failure
(-0.12%)
harmonious color
(0.64%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-54.98%)
intrusive object presence
(-3.86%)
lively color
(5.47%)
low light
(12.18%)
noise
(-6.84%)
pleasant camera tilt
(-13.21%)
pleasant composition
(-54.83%)
pleasant lighting
(-15.86%)
pleasant pattern
(20.65%)
pleasant perspective
(13.60%)
pleasant post processing
(2.83%)
pleasant reflection
(-2.41%)
pleasant symmetry
(2.64%)
sharply focused subject
(0.49%)
tastefully blurred
(-0.07%)
well chosen subject
(-0.63%)
well framed subject
(-29.57%)
well timed shot
(-0.23%)
all
(0.09%)
* 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.