Photos | Urban Lunch at a Restaurant
Joe Santagato, Grace C, and friends enjoying a meal and drinks at an urban restaurant.
BLIP-2 Description:
a group of people sitting at a table with drinksChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
cream room shelter lets urban outdoors furniture city diner potted grace tabletop dining undershirt root dk car vehicle fun juice plant tree cafe glass transportation summer court indoors accessories beverage sign photography electronics shirt outdoor lunch jewelry athletic dish street road sunglasses pub pacífico glasses building cafeteria night architecture crowd ice cream food hour icing portrait party table dinner mobile cup phone restaurant pottery meal alcohol life bracelet joe santagato hat dessert neighborhood necklace
iso
160
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/120s
camera make
Apple
camera model
lens model
date
2018-08-10T18:52:24.555000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.57%)
curation
(94.49%)
highlight visibility
(78.78%)
behavioral
(70.64%)
failure
(-0.24%)
harmonious color
(-2.04%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(1.28%)
intrusive object presence
(-10.35%)
lively color
(-1.25%)
low light
(11.04%)
noise
(-3.71%)
pleasant camera tilt
(-8.74%)
pleasant composition
(-73.44%)
pleasant lighting
(-36.99%)
pleasant pattern
(5.91%)
pleasant perspective
(-10.47%)
pleasant post processing
(2.28%)
pleasant reflection
(-4.00%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.63%)
tastefully blurred
(-6.51%)
well chosen subject
(-39.01%)
well framed subject
(-21.69%)
well timed shot
(2.54%)
all
(-7.09%)
* 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.