Photos | Bega Sign Shines Brightly in the Tokyo Night
The vibrant glow of the 'bega' neon sign illuminates the bustling street outside of the restaurant, providing a beacon of light for the countless pedestrians and vehicles passing by.
BLIP-2 Description:
a red neon sign that says "bega" in front of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
bus tower tow cafeteria vehicle outdoors computer rekognition_c shop storefront shopping mall life restaurant japan nishishinjuku urban pachinko night lighting city tour sign building maruh trip double handbag bus stop er hardware decker accessories bicycle nature transportation screen terminal truck electronics outdoor seca club metropolis symbol monitor bag indoors shibuya
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
2002-01-07T06:14:05-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(37.92%)
curation
(60.00%)
highlight visibility
(5.12%)
behavioral
(70.54%)
failure
(-0.37%)
harmonious color
(3.81%)
immersiveness
(0.12%)
interaction
(2.00%)
interesting subject
(-14.42%)
intrusive object presence
(-5.44%)
lively color
(-21.69%)
low light
(98.73%)
noise
(-8.03%)
pleasant camera tilt
(-11.93%)
pleasant composition
(-58.45%)
pleasant lighting
(-45.19%)
pleasant pattern
(9.11%)
pleasant perspective
(7.52%)
pleasant post processing
(0.87%)
pleasant reflection
(-8.63%)
pleasant symmetry
(1.51%)
sharply focused subject
(0.44%)
tastefully blurred
(-9.25%)
well chosen subject
(2.77%)
well framed subject
(-14.82%)
well timed shot
(8.29%)
all
(-4.35%)
* 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.