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:
architecture rise neighborhood urban building electromles outdoors area condo road outdoor akihabara text city mall billboard street japan nationa duty hardware metropolis billboards sign electronics banner 便 screen panasonic shopping skyscraper monitor office esncang trip downtown high housing home nishishinjuku sto media libre tv free advertisement advertising de shop computer cinema
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.