Photos | Dining at a Local Dive Bar

Four people enjoy a meal and drinks around a dining table in a cozy Japanese bar during a 2003 trip to Kyoto.
BLIP-2 Description:
a man and a womanMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
dish bar counter glass local pants cutlery beverage photography bar bree cafeteria laughing beer table dinner shirt computer potted local_dive_bar cabinet cafe alcohol restaurant food japan photobombing urban plant drinking part dining diner wedding glasses couch building utensil furniture architecture happy trip lunch dive nakagyo portrait pub tableware hardware meal cup kamihonnojimaecho screen spoon electronics dining room room monitor indoors accessories bride
flash fired
true
iso
105
metering mode
5
aperture
f/5.6
focal length
6mm
shutter speed
1/30s
camera make
OLYMPUS OPTICAL CO.,LTD
camera model
date
2003-01-07T23:46:55-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(32.81%)
curation
(65.82%)
highlight visibility
(5.72%)
behavioral
(90.76%)
failure
(-0.32%)
harmonious color
(-1.26%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(22.17%)
intrusive object presence
(-11.25%)
lively color
(-14.27%)
low light
(95.31%)
noise
(-6.96%)
pleasant camera tilt
(-5.03%)
pleasant composition
(-41.80%)
pleasant lighting
(-49.10%)
pleasant pattern
(4.44%)
pleasant perspective
(2.42%)
pleasant post processing
(-1.91%)
pleasant reflection
(-0.88%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.71%)
tastefully blurred
(-14.97%)
well chosen subject
(-49.07%)
well framed subject
(27.88%)
well timed shot
(8.33%)
all
(-5.98%)
* 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.