Photos | Skating Through Urban Landscape
Wesley, our young adventurer, embracing the city's beauty as he glides effortlessly on his skateboard in Fort Point, San Francisco. Captured on a day graced by a slightly cloudy yet strikingly blue sky, he showcases the blissful combination of youthful spirit and urban energy. The cityscape effortlessly enhances his portrait – indeed, a perfect blend of architecture, nature, and passion. Picture taken on a radiant February afternoon in 2024.
BLIP-2 Description:
a young boy is riding a skateboard on a concrete surfaceChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture jeans boy pants flag urban arch building fence portrait child footwear outdoors sidewalk hat walkway road outdoor sky wood city shoe bag street sitting randoms glasses shorts path nature february backpack accessories bridge recreation handbag walking photography wesley floor cloudy shelter
iso
50
metering mode
5
aperture
f/2.2
focal length
2mm
latitude
37.81
longitude
-122.48
shutter speed
1/1880s
camera make
Apple
camera model
date
2024-02-24T15:28:33.247000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(43.99%)
curation
(65.00%)
highlight visibility
(5.50%)
behavioral
(70.68%)
failure
(-0.34%)
harmonious color
(5.00%)
immersiveness
(5.69%)
interaction
(1.00%)
interesting subject
(-22.83%)
intrusive object presence
(-10.64%)
lively color
(16.36%)
low light
(0.51%)
noise
(-1.54%)
pleasant camera tilt
(-8.48%)
pleasant composition
(-47.34%)
pleasant lighting
(-13.12%)
pleasant pattern
(5.27%)
pleasant perspective
(2.25%)
pleasant post processing
(3.48%)
pleasant reflection
(2.45%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.32%)
tastefully blurred
(-8.12%)
well chosen subject
(-5.35%)
well framed subject
(-14.23%)
well timed shot
(4.10%)
all
(2.01%)
* 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.