Photos | Night Skating Fun in Urban Austin
Glover Quin and a group of 9 skaters hit the city streets on their boards, riding along the sidewalk and road under the glowing streetlights of Austin. Three e-scooters join the fun as four helmets ensure safety while they weave through the metropolis.
BLIP-2 Description:
a group of people skateboarding on a street at nightChronologically 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:
urban wheel street night transportation outdoor footwear bag path sky pedestrian floor city flagstone sidewalk building misitor lighting heel glove shoe handbag skateboard outdoors intersection nature tarmac helmet glover quin downtown metropolis road vehicle scooter high machine hat light traffic accessories walking walkway darkness land
Detected Text
iso
500
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
(30.47%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.64%)
failure
(-2.10%)
harmonious color
(3.88%)
immersiveness
(3.49%)
interaction
(2.00%)
interesting subject
(-57.57%)
intrusive object presence
(-7.06%)
lively color
(-8.45%)
low light
(95.95%)
noise
(-5.54%)
pleasant camera tilt
(-8.10%)
pleasant composition
(-64.89%)
pleasant lighting
(-30.57%)
pleasant pattern
(4.71%)
pleasant perspective
(-0.92%)
pleasant post processing
(-1.25%)
pleasant reflection
(-1.97%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.15%)
tastefully blurred
(-39.04%)
well chosen subject
(-15.82%)
well framed subject
(-47.49%)
well timed shot
(-3.28%)
all
(-5.43%)
* 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 by an AI LLM (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.