Photos | Dining at a Restaurant in LA

Dave B and Michael R enjoying a meal at a table in a restaurant in Los Angeles, surrounded by furniture and optical equipment. Three cups, two plates, and a drinking glass sit on the tableware, while utensils wait to be used.
BLIP-2 Description:
two men sitting at a tableMetadata
Capture date:
Original Dimensions:
1280w x 960h - (download 4k)
Usage
Dominant Color:
Location:
cocktail spoon fork couch room drinking furniture container eyeglasses dining dave juice cafe glass court indoors accessories beverage equipment photography diner lunch pub plate optical glasses building cafeteria architecture food beer counter michael r utensil portrait bar table cutlery cup alcohol restaurant phone meal plywood coffee electronics tableware wood
iso
500
metering mode
5
aperture
f/2.2
focal length
3mm
latitude
34.05
longitude
-118.26
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2015-05-22T19:30:36.252000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.18%)
curation
(68.28%)
highlight visibility
(5.90%)
behavioral
(90.75%)
failure
(-0.46%)
harmonious color
(0.50%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-8.30%)
intrusive object presence
(-6.35%)
lively color
(-6.18%)
low light
(46.73%)
noise
(-21.75%)
pleasant camera tilt
(-6.40%)
pleasant composition
(-50.05%)
pleasant lighting
(-35.03%)
pleasant pattern
(3.20%)
pleasant perspective
(-3.11%)
pleasant post processing
(1.04%)
pleasant reflection
(-2.28%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.46%)
tastefully blurred
(-5.99%)
well chosen subject
(-30.13%)
well framed subject
(-25.51%)
well timed shot
(11.99%)
all
(-4.03%)
* 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.