Photos | Japanese Signage Illuminating the Night
A vibrant sign with Japanese writing shines brightly against the night sky amidst the bustling district of Okachimachi in Tokyo, Japan. Captured during a 2003 trip, the intricate characters convey information that ranges from a menu to hardware, computer components to credit cards to symbols and more.
BLIP-2 Description:
a sign with japanese writing on it at nightMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
遊び 音 trip 利用 の document 遊ぶ ボール たり text 付き添う 石 monitor computer 傷つけ など めいわく credit card ましょう まし 花火 て 所 okachimachi electronics を で は 保護 目黒 screen 人 ほか 区 しま ない 花 し 児童 事務 前 nishishinjuku する 三 plaque 野球 必ず 公園 sign 幼児 東京 menu 危い 方 symbol 就学 が 黑 つぎ こと 者 や 打ち上げ 四 電話 犬 みんな 乗る 守り 木 都 目 とっ なかよく hardware 投げ よう 自車 出る やめ japan に とき 遊園 へ 入る 連れ 二 かけ
Detected Text
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
(4.68%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.13%)
failure
(-0.51%)
harmonious color
(-3.56%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-86.67%)
intrusive object presence
(-7.30%)
lively color
(6.60%)
low light
(26.93%)
noise
(-3.78%)
pleasant camera tilt
(-8.12%)
pleasant composition
(-16.49%)
pleasant lighting
(-24.40%)
pleasant pattern
(6.91%)
pleasant perspective
(-0.24%)
pleasant post processing
(-3.34%)
pleasant reflection
(-3.08%)
pleasant symmetry
(1.25%)
sharply focused subject
(4.25%)
tastefully blurred
(-1.71%)
well chosen subject
(5.97%)
well framed subject
(46.07%)
well timed shot
(2.68%)
all
(-2.19%)
* 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.