Photos | Urban Adventure: A Young Skater in the City

Captured on a sunny morning at the Bay Area Discovery Museum in 2023, this vibrant photograph brings to life the playful essence of childhood. Our lively subject, a young boy, commandingly rides his skateboard, as if conquering the urban jungle around him. The backdrop of the city's robust architecture coupled with nature adds a charmingly juxtaposed element to this lively portrait. This image is a testament to unbounded youthful exuberance and the joy of a fun day out in the city!
BLIP-2 Description:
a young boy is playing with a skateboardMetadata
Capture date:
Original Dimensions:
4000w x 6000h - (download 4k)
Usage
Dominant Color:
cream jacket path machine knitwear shelter walkway city urban outdoors dress bay museum discovery wesley vehicle sky body part child plant tree area accessories bag photography sidewalk shirt ice outdoor street pants road building footwear architecture food blackboard dessert portrait sweater text boy shrub coat handbag walking vest cloudy advertisement scarf nature shoe
iso
100
metering mode
5
aperture
f/9
focal length
28mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2023-07-23T10:38:52.266000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.95%)
curation
(65.74%)
highlight visibility
(5.71%)
behavioral
(90.82%)
failure
(-0.12%)
harmonious color
(4.16%)
immersiveness
(0.61%)
interaction
(1.00%)
interesting subject
(-5.40%)
intrusive object presence
(-12.89%)
lively color
(3.59%)
low light
(0.61%)
noise
(-0.76%)
pleasant camera tilt
(-7.44%)
pleasant composition
(-39.65%)
pleasant lighting
(1.77%)
pleasant pattern
(5.57%)
pleasant perspective
(9.52%)
pleasant post processing
(0.42%)
pleasant reflection
(3.98%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.83%)
tastefully blurred
(-2.81%)
well chosen subject
(-26.32%)
well framed subject
(25.90%)
well timed shot
(-1.47%)
all
(2.41%)
* 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.