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:
tarmac path machine global shibuya city urban intersection vehicle car license sky high transportation downtown nishishinjuku area billboards sign traffic outdoor street shopping mall road plate building architecture japan more_shibuya zebra shop automobile trip rise light metropolis metropolitan pedestrian crossing bus land town neighborhood crosswalk
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.