Photos | Dining at a Los Angeles Cafeteria

Natália Falavigna enjoys a meal with friends indoors, surrounded by plywood furniture and a wooden table, a laptop, and a bottle and carton of drinks at their side.
BLIP-2 Description:
a woman is standing at a table with some foodMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Location:
buffet machine la cheese furniture natália falavigna desk container floor laptop hardwood tabletop consumer hardware dining screen part leah leah_artisntal_la artisntal court pc indoors semolina accessories ring bag shirt jewelry shelf dish bottle building cafeteria architecture food monitor artisan shells table text cup carton restaurant computer meal flooring handbag bracelet box factory classic interior design tablet electronics plywood wood
iso
3200
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2014-10-11T15:09:25-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.19%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.17%)
harmonious color
(2.44%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(2.45%)
intrusive object presence
(-21.61%)
lively color
(-4.55%)
low light
(9.74%)
noise
(-1.93%)
pleasant camera tilt
(-5.98%)
pleasant composition
(-58.79%)
pleasant lighting
(-12.36%)
pleasant pattern
(9.35%)
pleasant perspective
(11.11%)
pleasant post processing
(4.60%)
pleasant reflection
(-2.68%)
pleasant symmetry
(0.61%)
sharply focused subject
(1.05%)
tastefully blurred
(-2.44%)
well chosen subject
(-29.71%)
well framed subject
(2.79%)
well timed shot
(-1.13%)
all
(-1.30%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.