Photos | Everyday Magic at Alamo Square
Taken on the sunny morning of August 5, 2023, this heartwarming portrait captures Wesley, with his charming cat shirt and contagious smile, creating waves of joy in our urban sanctuary - Alamo Square. Juxtaposed against the backdrop of the lively city, our little hero teaches us the beauty of simple pleasures. His jubilant spirit is as alluring as the vivid blue of the San Francisco sky overhead.
BLIP-2 Description:
a young boy wearing a shirt with a cat on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
tarmac jacket suburb housing knitwear shelter grass randoms city urban outdoors soil long play wesley recreation car vehicle jeans sky fillmore plant child de part transportation sweatshirt hoodie sleeve accessories bag photography outdoor street pants road footwear building architecture district portrait sweater shorts boy single shrub coat sneaker walking handbag house land hat neighborhood shoe
Detected Text
iso
80
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.78
longitude
-122.43
shutter speed
1/2353s
camera make
Apple
camera model
date
2023-08-05T09:13:00.810000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(53.52%)
curation
(66.15%)
highlight visibility
(5.59%)
behavioral
(70.68%)
failure
(-0.27%)
harmonious color
(3.55%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(38.99%)
intrusive object presence
(-3.52%)
lively color
(24.37%)
low light
(1.54%)
noise
(-2.22%)
pleasant camera tilt
(-2.88%)
pleasant composition
(2.17%)
pleasant lighting
(-2.51%)
pleasant pattern
(10.28%)
pleasant perspective
(3.04%)
pleasant post processing
(2.14%)
pleasant reflection
(-2.27%)
pleasant symmetry
(0.29%)
sharply focused subject
(4.37%)
tastefully blurred
(4.01%)
well chosen subject
(-23.41%)
well framed subject
(59.42%)
well timed shot
(14.23%)
all
(7.53%)
* 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.