Photos | Night Skate in the City
Jia Zongyang and his crew take to the streets of Austin for a nighttime skateboarding session. The city lights illuminate their path as they glide down the sidewalk and weave through the urban landscape.
BLIP-2 Description:
a group of people skateboarding on a street at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
urban footwear flare pedestrian outdoors transportation sidewalk wristwatch walkway flagstone road outdoor intersection flooring sky tarmac city shoe bag land street glove bicycle metropolis path helmet nature vehicle light accessories night downtown walking lighting jia zongyang floor handbag skateboard
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
date
2022-03-02T21:34:55.003000-06:00
tzoffset
-21600
tzname
GMT-0600
overall
(38.82%)
curation
(60.00%)
highlight visibility
(81.46%)
behavioral
(70.69%)
failure
(-1.03%)
harmonious color
(4.79%)
immersiveness
(7.23%)
interaction
(2.00%)
interesting subject
(-51.42%)
intrusive object presence
(-2.59%)
lively color
(-14.99%)
low light
(94.24%)
noise
(-5.22%)
pleasant camera tilt
(-8.07%)
pleasant composition
(-27.91%)
pleasant lighting
(-28.08%)
pleasant pattern
(8.35%)
pleasant perspective
(6.49%)
pleasant post processing
(2.61%)
pleasant reflection
(-0.99%)
pleasant symmetry
(1.15%)
sharply focused subject
(0.34%)
tastefully blurred
(-17.33%)
well chosen subject
(-19.13%)
well framed subject
(-33.52%)
well timed shot
(-0.23%)
all
(-0.66%)
* 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.