Photos | A Bustling Street in the Heart of Tokyo
A view of the busy intersection at the Tokyo Metropolitan Government Office, with colorful billboards and skyscrapers towering over the bustling street filled with cars and pedestrians.
BLIP-2 Description:
a busy street with cars and pedestriansChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
architecture more_shibuya rise shibuya neighborhood urban building metropolitan pedestrian transportation area crosswalk road outdoor intersection shopping mall global sky traffic city tarmac crossing license land street japan machine metropolis path bus billboards sign car vehicle zebra light high trip downtown town plate automobile nishishinjuku shop
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/40s
camera make
CASIO COMPUTER CO.,LTD.
camera model
date
2002-01-10T02:17:59-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(23.27%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-1.71%)
harmonious color
(-0.38%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-52.69%)
intrusive object presence
(-42.85%)
lively color
(-19.02%)
low light
(87.30%)
noise
(-11.91%)
pleasant camera tilt
(-13.26%)
pleasant composition
(-86.38%)
pleasant lighting
(-50.24%)
pleasant pattern
(5.79%)
pleasant perspective
(-7.21%)
pleasant post processing
(4.21%)
pleasant reflection
(-7.27%)
pleasant symmetry
(0.68%)
sharply focused subject
(0.10%)
tastefully blurred
(-50.93%)
well chosen subject
(2.37%)
well framed subject
(-47.71%)
well timed shot
(-6.43%)
all
(-10.39%)
* 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.