Photos | 'Sunday Brunch Delights: Baby Wesley's First Taste of a Sandwich'
'Our little taste adventurer, Wesley, exploring the flavors of his first sandwich during our family outing. Captured amidst the charming ambiance of a waterfront restaurant in Belvedere Tiburon, California. The blue sky, the laughter, and Wesley's curiosity made for a picture-perfect Sunday brunch.'
BLIP-2 Description:
a baby eating a sandwich on a table with a person holding a spoonChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4284w x 5712h - (download 4k)
Usage
Dominant Color:
Location:
urban sweets rekognition_c street november coffee wood restaurant child cutlery portrait baby outdoor water cream randoms house ice court port path porch sky interior food spoon potted container waterfront bridge icing chair city juice housing snack fork plywood table building lunch outdoors porcelain cloudy pottery dessert boy umbrella tiburon room pier deck dish plant downtown cafe cup road beverage tabletop maliton architecture blue utensil meal wesley furniture photography ocean indoors sitting dining shelter art boardwalk part
iso
80
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.87
longitude
-122.46
shutter speed
1/4608s
camera make
Apple
camera model
overall
(51.42%)
curation
(65.95%)
highlight visibility
(5.73%)
behavioral
(90.88%)
failure
(-0.22%)
harmonious color
(8.15%)
immersiveness
(0.20%)
interaction
(2.00%)
interesting subject
(-7.96%)
intrusive object presence
(-5.88%)
lively color
(20.64%)
low light
(8.81%)
noise
(-0.83%)
pleasant camera tilt
(-1.54%)
pleasant composition
(-30.88%)
pleasant lighting
(3.84%)
pleasant pattern
(9.67%)
pleasant perspective
(9.47%)
pleasant post processing
(11.08%)
pleasant reflection
(0.85%)
pleasant symmetry
(0.37%)
sharply focused subject
(12.62%)
tastefully blurred
(43.19%)
well chosen subject
(-28.74%)
well framed subject
(34.55%)
well timed shot
(6.63%)
all
(6.69%)
* 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,
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.