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
architecture bracelet summer glass cafeteria necklace neighborhood urban plant building meal pub food portrait mobile beverage dish outdoors transportation hat tree dinner restaurant hour outdoor furniture road court city pottery party icing athletic street dessert diner joe santagato fun alcohol shirt glasses indoors lunch ice cream cream tabletop dining life sunglasses pacífico sign electronics car vehicle jewelry table accessories room juice night cafe dk lets potted phone photography grace cup root crowd undershirt shelter
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.