Photos | Boy's Best Friend: Casual Days in the Neighborhood
Hi-Li, a young man, captures the simple joy of walking his dog on a sunny day on the city sidewalk. The surrounding vehicles indicating the city lifestyle, foliage adding a touch of nature to the urban setting, and Hi-Li's casual attire portraying an everyday moment from March 2024. A blend of urban life, nature, and pet love beautifully encompassed in one frame.
BLIP-2 Description:
a young boy walking a dog on a sidewalkChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4284w x 5712h - (download 4k)
Usage
Dominant Color:
Location:
architecture herbal summer boy pants neighborhood urban plant building portrait child footwear yard outdoors transportation sidewalk walkway tree road outdoor pet sedan sky city shoe license land suv street strap glove dog sun machine leash randoms shirt herbs heights shorts path shrub nature cord canine car vehicle grass accessories walking potted plant puppy hound plate automobile photography mammal animal bernal march hi-li suburb shelter
iso
80
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.73
longitude
-122.42
shutter speed
1/609s
camera make
Apple
camera model
date
2024-03-07T17:44:01.041000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(45.68%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.27%)
harmonious color
(4.95%)
immersiveness
(1.61%)
interaction
(1.00%)
interesting subject
(-11.35%)
intrusive object presence
(-7.76%)
lively color
(-9.89%)
low light
(4.88%)
noise
(-1.56%)
pleasant camera tilt
(-1.27%)
pleasant composition
(-40.48%)
pleasant lighting
(-16.65%)
pleasant pattern
(2.47%)
pleasant perspective
(19.93%)
pleasant post processing
(7.95%)
pleasant reflection
(-1.69%)
pleasant symmetry
(1.15%)
sharply focused subject
(0.56%)
tastefully blurred
(-3.47%)
well chosen subject
(0.37%)
well framed subject
(14.56%)
well timed shot
(37.52%)
all
(4.99%)
* 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,
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