Photos | Night Skating in the Heart of the City
Carlos Ruiz and his crew hit the streets of Austin, Texas, for a nocturnal skateboarding session. Street lamps and city lights illuminating their path, they ride in style with their signature footwear and clothing, showcasing their love for the urban lifestyle.
BLIP-2 Description:
a group of people skateboarding on a street at nightMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
travel sky accessories walking city land urban shoe shoes vehicle silhouette march lighting trip road wristwatch handbag coat flare pro transportation austin intersection path sidewalk outdoors carlos ruiz downtown spring tarmac walkway helmet apple pedestrian night skateboard traffic motorcycle nature united states street footwear driskill max southern st bag outdoor light iphone tx metropolis
iso
640
metering mode
5
aperture
f/1.5
focal length
6mm
latitude
30.26
longitude
-97.74
shutter speed
1/40s
camera make
Apple
camera model
overall
(30.37%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-1.22%)
harmonious color
(5.59%)
immersiveness
(3.10%)
interaction
(1.00%)
interesting subject
(-37.67%)
intrusive object presence
(-3.83%)
lively color
(-17.93%)
low light
(98.14%)
noise
(-4.47%)
pleasant camera tilt
(-6.96%)
pleasant composition
(-45.19%)
pleasant lighting
(-36.50%)
pleasant pattern
(6.15%)
pleasant perspective
(7.67%)
pleasant post processing
(-1.42%)
pleasant reflection
(0.25%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.12%)
tastefully blurred
(-49.00%)
well chosen subject
(-31.69%)
well framed subject
(-27.05%)
well timed shot
(-3.51%)
all
(-4.73%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated with AI (gpt-3.5-turbo-0301
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.