Photos | Bega Illuminates Tokyo's Urban Landscape

A red neon sign reading 'bega' glows brightly in front of a building in Shinjuku, Tokyo. As the city lights up at night, the vibrant signage adds to the bustling, metropolitan vibe of the Japanese capital.
BLIP-2 Description:
a red neon sign that says "bega" in front of a buildingMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
cafeteria urban building maruh er outdoors transportation pachinko decker restaurant road outdoor bus stop city bag mall land hardware truck club tow storefront indoors bicycle double metropolis bus life nature rekognition_c electronics seca sign vehicle screen accessories shopping monitor night tour lighting nishishinjuku terminal computer shop handbag symbol
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
(42.46%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.65%)
failure
(-0.29%)
harmonious color
(5.33%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-7.93%)
intrusive object presence
(-4.71%)
lively color
(-22.19%)
low light
(99.32%)
noise
(-5.96%)
pleasant camera tilt
(-11.62%)
pleasant composition
(-51.66%)
pleasant lighting
(-36.38%)
pleasant pattern
(9.33%)
pleasant perspective
(9.12%)
pleasant post processing
(2.35%)
pleasant reflection
(-6.70%)
pleasant symmetry
(1.64%)
sharply focused subject
(0.56%)
tastefully blurred
(-6.36%)
well chosen subject
(4.00%)
well framed subject
(-10.44%)
well timed shot
(7.75%)
all
(-2.25%)
* 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.