Photos | Skateboarding Adventures on San Francisco Sidewalks

Wesley, embodying the vibrant essence of urban youth, cruising through the streets of San Francisco on his skateboard. Captured on a typical city day, amidst the bustling backdrop of pedestrians, parked cars, and the city’s charming architecture. (February 25, 2024)
BLIP-2 Description:
a young boy riding a skateboard on a sidewalkMetadata
Capture date:
Original Dimensions:
4284w x 5712h - (download 4k)
Usage
Dominant Color:
Location:
path dann city potted jeans sky mission transportation window outdoor road shorts boy caraved cloudy soil brick wood walkway shelter dining plant wristwatch sleeve accessories shirt sidewalk glasses building footwear architecture suit alley handbag shoe tarmac february randoms furniture dress long floor wesley car body part downtown formal bag traffic street pants liquor ed sweater sneaker knitwear jacket outdoors urban wear vehicle wh dave b child photography chair flagstone district portrait light table pedestrian walking wine land neighborhood plywood coat
iso
80
metering mode
5
aperture
f/1.78
focal length
7mm
latitude
37.76
longitude
-122.42
shutter speed
1/5348s
camera make
Apple
camera model
date
2024-02-25T14:17:50.795000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(29.71%)
curation
(68.28%)
highlight visibility
(5.91%)
behavioral
(90.83%)
failure
(-0.54%)
harmonious color
(-0.42%)
immersiveness
(2.03%)
interaction
(1.00%)
interesting subject
(-33.50%)
intrusive object presence
(-13.13%)
lively color
(15.78%)
low light
(4.66%)
noise
(-3.34%)
pleasant camera tilt
(-7.49%)
pleasant composition
(-56.59%)
pleasant lighting
(-22.18%)
pleasant pattern
(8.15%)
pleasant perspective
(-10.19%)
pleasant post processing
(1.53%)
pleasant reflection
(-0.90%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.56%)
tastefully blurred
(-1.54%)
well chosen subject
(-43.73%)
well framed subject
(-26.27%)
well timed shot
(4.15%)
all
(-3.92%)
* 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,
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.