Photos | Nighttime Crowd in Tokyo
A group of 15 people, including 4 men, walking down a busy street in the Okachimachi neighborhood of Tokyo, known for its bustling shopping bazaars and markets. The brightly lit billboards, storefronts, and electronics screens illuminate their path, making for a lively nighttime stroll in the heart of the city.
BLIP-2 Description:
a group of people walking down a street at nightMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
urban storefront street night computer outdoor trip nishishinjuku night life bag path mall jacket pedestrian city billboards hardware shop sidewalk building lighting sign okachimachi electronics outdoors handbag nature coat alley neighborhood market japan metropolis screen road bazaar accessories photography monitor shopping walking crowd
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
(23.94%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.51%)
harmonious color
(-1.97%)
immersiveness
(0.76%)
interaction
(1.00%)
interesting subject
(-52.73%)
intrusive object presence
(-13.70%)
lively color
(-30.54%)
low light
(77.44%)
noise
(-15.11%)
pleasant camera tilt
(-11.94%)
pleasant composition
(-89.26%)
pleasant lighting
(-70.75%)
pleasant pattern
(4.59%)
pleasant perspective
(-8.32%)
pleasant post processing
(-2.15%)
pleasant reflection
(-5.30%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.10%)
tastefully blurred
(-4.40%)
well chosen subject
(-6.41%)
well framed subject
(-56.49%)
well timed shot
(2.16%)
all
(-13.01%)
* 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.