Photos | Nighttime Hustle and Bustle in Tokyo
A vivid scene of a city street in Tokyo illuminated at night, showcasing the hustle and bustle of metropolitan life. From buses and cars to people and accessories, every element blends perfectly in a grand symphony of urban existence.
BLIP-2 Description:
a busy city street at nightChronologically 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:
urban rekognition_c street night van transportation harijuku outdoor trip nishishinjuku bag minibus path sky jam city billboards automobile car hardware license plate sidewalk building lighting sign bicycle electronics handbag tarmac japan metropolis screen road vehicle machine traffic bus light accessories monitor computer 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
(20.46%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.69%)
failure
(-2.39%)
harmonious color
(-4.24%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-50.98%)
intrusive object presence
(-3.98%)
lively color
(-34.45%)
low light
(100.00%)
noise
(-35.30%)
pleasant camera tilt
(-16.78%)
pleasant composition
(-76.32%)
pleasant lighting
(-72.75%)
pleasant pattern
(3.54%)
pleasant perspective
(-4.33%)
pleasant post processing
(3.45%)
pleasant reflection
(-6.32%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.10%)
tastefully blurred
(-28.54%)
well chosen subject
(0.34%)
well framed subject
(-29.93%)
well timed shot
(3.68%)
all
(-12.02%)
* 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.