Photos | Dining on the Go
A plate of delicious food accompanied by a trusty cell phone for a busy day in the heart of Tokyo at the Tokyo Metropolitan Government Office.
BLIP-2 Description:
a table with a plate of food and a cell phoneChronologically 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:
spoon fork machine document room furniture desk remote simons_pad_ebisu aluminium dining tabletop weapon consumer ebisu pad ashtray indoors nishishinjuku dish plate building architecture japan food utensil trip text table seven mild mobile cutlery cup pen phone control meal simons tool lipstick cosmetics book gun electronics tableware wood
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
2002-01-09T08:49:52-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(49.54%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.56%)
failure
(-0.17%)
harmonious color
(3.45%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-15.17%)
intrusive object presence
(-7.15%)
lively color
(7.58%)
low light
(69.97%)
noise
(-2.69%)
pleasant camera tilt
(-6.27%)
pleasant composition
(-3.48%)
pleasant lighting
(21.08%)
pleasant pattern
(12.79%)
pleasant perspective
(42.58%)
pleasant post processing
(6.99%)
pleasant reflection
(3.61%)
pleasant symmetry
(5.00%)
sharply focused subject
(5.57%)
tastefully blurred
(-1.31%)
well chosen subject
(5.88%)
well framed subject
(34.25%)
well timed shot
(-0.45%)
all
(11.75%)
* 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.