Photos | Dining at Kyoto City Hall
A woman enjoys a meal at a plywood dining table, surrounded by furniture and plants in the dining room of a local dive bar in Kyoto City Hall, Japan.
BLIP-2 Description:
a woman sitting at a table with a plate of foodChronologically 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:
couch wood plate portrait restaurant cutlery glasses trip cabinet food spoon bowl container closet potted chair plywood fork document table building lunch tableware local_dive_bar drawer desk dining table shaker bar room kamihonnojimaecho bedroom japan dish plant bed nakagyo architecture blouse utensil meal cupboard bottle furniture accessories photography dining indoors local dive
flash fired
true
iso
100
metering mode
5
aperture
f/2.9
focal length
6mm
shutter speed
1/30s
camera make
OLYMPUS OPTICAL CO.,LTD
camera model
overall
(25.39%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-0.34%)
harmonious color
(-3.03%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-47.51%)
intrusive object presence
(-11.50%)
lively color
(-7.87%)
low light
(5.49%)
noise
(-4.20%)
pleasant camera tilt
(-16.80%)
pleasant composition
(-81.84%)
pleasant lighting
(-27.95%)
pleasant pattern
(3.20%)
pleasant perspective
(-12.19%)
pleasant post processing
(0.90%)
pleasant reflection
(-0.90%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.42%)
tastefully blurred
(-21.02%)
well chosen subject
(-19.46%)
well framed subject
(-32.47%)
well timed shot
(-5.78%)
all
(-8.51%)
* 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.