Photos | Urban Crowds in Tokyo
A bustling city street in Shinjuku, Tokyo filled with pedestrians and traffic, capturing the energy and liveliness of city life.
BLIP-2 Description:
a crowded city street with people walking and crossing the streetChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
tarmac lighting jacket shibuya heel city urban outdoors car vehicle high transportation stop downtown nishishinjuku bag accessories traffic light outdoor street road night building footwear crowd japan more_shibuya trip light metropolis coat painting life pedestrian handbag walking bus overcoat land hat art shoe
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
date
2002-01-10T02:18:27-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(11.54%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.78%)
failure
(-6.96%)
harmonious color
(1.56%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-60.40%)
intrusive object presence
(-5.69%)
lively color
(-11.57%)
low light
(97.41%)
noise
(-27.71%)
pleasant camera tilt
(-13.16%)
pleasant composition
(-86.96%)
pleasant lighting
(-50.34%)
pleasant pattern
(5.42%)
pleasant perspective
(-11.63%)
pleasant post processing
(0.64%)
pleasant reflection
(-0.74%)
pleasant symmetry
(0.05%)
sharply focused subject
(0.10%)
tastefully blurred
(-69.09%)
well chosen subject
(-11.22%)
well framed subject
(-67.43%)
well timed shot
(-24.48%)
all
(-13.17%)
* 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.