Photos | Group Lunch at 3 Cups Restaurant
Joe Santagato, Grace C, and 19 others smile in front of the chalkboard sign at 3 Cups restaurant in the city.
BLIP-2 Description:
a group of people posing for a photo at a restaurantChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
architecture bracelet cafeteria necklace neighborhood urban hut building meal pub portrait food mobile dish outdoors hat wristwatch restaurant furniture road rural saturday athletics court city street document roots shirt glasses friday indoors lunch dining life nature pacífico sign electronics jewelry table accessories room grace c night cafe countryside charles chalkboard plate phone photography smile happy fico cup ana joe santagato 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
2018-08-10T18:52:28.557000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.11%)
curation
(96.56%)
highlight visibility
(2.45%)
behavioral
(70.67%)
failure
(-0.20%)
harmonious color
(-0.82%)
immersiveness
(0.12%)
interaction
(10.00%)
interesting subject
(15.87%)
intrusive object presence
(-11.84%)
lively color
(7.69%)
low light
(20.63%)
noise
(-1.54%)
pleasant camera tilt
(-6.25%)
pleasant composition
(-66.06%)
pleasant lighting
(-24.10%)
pleasant pattern
(5.54%)
pleasant perspective
(-5.13%)
pleasant post processing
(4.44%)
pleasant reflection
(-0.82%)
pleasant symmetry
(0.37%)
sharply focused subject
(1.12%)
tastefully blurred
(-4.52%)
well chosen subject
(-42.77%)
well framed subject
(-23.95%)
well timed shot
(6.70%)
all
(-3.55%)
* 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.