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:
lighting city urban outdoors seca hardware vehicle screen double shopping bicycle transportation storefront indoors nishishinjuku bag accessories er sign outdoor bus stop road pachinko night building cafeteria club decker monitor shop tour metropolis mall restaurant computer life terminal handbag bus rekognition_c truck maruh land nature tow electronics 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.