Photos | Brunch Time at Fort Mason
Dave B and young Wesley relishing a hearty lunch at a cozy restaurant in Fort Mason. Captured in the midst of a delightful twist of casual dining and warm conversations on December 10, 2023. Their brunch spread boasted a whimsical concoction of cream-topped dessert, a plate of sunny side up eggs, and crusty bread. A perfect picture depicting the beauty of shared meals and cherished moments.
BLIP-2 Description:
a man and a child eating at a tableChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
cutlery architecture glass cafeteria page spoon tableware building meal food window child chair portrait brunch baby dish ring buffet plywood fort living restaurant furniture utensil egg court wood breakfast icing eating drinking document dessert machine dave disposable cream indoors lunch tabletop dining sweets interior rekognition_c bread vehicle fork jewelry table room accessories couch cafe plate snack part photography printed wesley cup mason
iso
2000
metering mode
5
aperture
f/2.8
exposure bias
-0.32999999999999996
focal length
16mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2023-12-10T17:03:35.520000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(36.65%)
curation
(68.13%)
highlight visibility
(5.89%)
behavioral
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failure
(-0.24%)
harmonious color
(2.81%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-35.91%)
intrusive object presence
(-19.65%)
lively color
(-17.52%)
low light
(9.81%)
noise
(-1.76%)
pleasant camera tilt
(-9.50%)
pleasant composition
(-85.45%)
pleasant lighting
(-31.35%)
pleasant pattern
(3.64%)
pleasant perspective
(0.42%)
pleasant post processing
(2.27%)
pleasant reflection
(-1.50%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.66%)
tastefully blurred
(0.32%)
well chosen subject
(-18.41%)
well framed subject
(-22.02%)
well timed shot
(8.43%)
all
(-5.92%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
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and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
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