Photos | Busy Intersection in Tokyo's Metropolis
A bustling crosswalk in front of Tokyo Metropolitan Government Office, with 20 cars and 9 pedestrians crossing the zebra crossing, surrounded by towering skyscrapers and bright billboards.
BLIP-2 Description:
a busy intersection with people walking and cars drivingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
crossing urban street more_shibuya transportation outdoor office building trip shopping mall nishishinjuku metropolitan bag rise path sky pedestrian shibuya crosswalk condo city housing billboards automobile car shop building skyscraper sign intersection handbag tarmac neighborhood japan area downtown metropolis road vehicle high architecture machine blue hat zebra accessories photography walking land
flash fired
true
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/30s
camera make
CASIO COMPUTER CO.,LTD.
camera model
overall
(37.26%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.80%)
failure
(-0.71%)
harmonious color
(4.89%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-28.52%)
intrusive object presence
(-34.91%)
lively color
(-12.61%)
low light
(86.33%)
noise
(-10.82%)
pleasant camera tilt
(-7.42%)
pleasant composition
(-79.00%)
pleasant lighting
(-41.02%)
pleasant pattern
(6.69%)
pleasant perspective
(19.74%)
pleasant post processing
(1.13%)
pleasant reflection
(-1.08%)
pleasant symmetry
(1.29%)
sharply focused subject
(0.22%)
tastefully blurred
(-31.03%)
well chosen subject
(8.87%)
well framed subject
(-29.47%)
well timed shot
(6.04%)
all
(-3.58%)
* 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.