Photos | Skateboarders Take Over
A group of 22 people show off their skills on skateboards, taking over the streets of San Francisco's urban neighborhood. With helmets, gloves, and footwear in tow, they navigate the intersection and weave through traffic lights with ease, creating a bustling scene for onlookers.
BLIP-2 Description:
a group of people riding skateboards on the streetChronologically 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:
scooter neighborhood urban motor footwear equipment pedestrian transportation area rollerskating road outdoor intersection sky tarmac city shoe bag traffic land street glove asphalt machine bicycle district metropolis path helmet mission skating sign moped car vehicle backpack sport light accessories recreation handbag downtown walking town sports automobile cloudy motorcycle skateboard symbol
iso
64
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
37.76
longitude
-122.42
shutter speed
1/136s
camera make
Apple
camera model
date
2020-01-18T17:10:52.180000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(38.23%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.77%)
failure
(-1.42%)
harmonious color
(1.37%)
immersiveness
(4.30%)
interaction
(1.00%)
interesting subject
(-38.96%)
intrusive object presence
(-9.81%)
lively color
(-3.05%)
low light
(31.08%)
noise
(-2.44%)
pleasant camera tilt
(-5.35%)
pleasant composition
(-30.42%)
pleasant lighting
(-12.28%)
pleasant pattern
(12.23%)
pleasant perspective
(9.06%)
pleasant post processing
(1.12%)
pleasant reflection
(1.05%)
pleasant symmetry
(1.20%)
sharply focused subject
(0.46%)
tastefully blurred
(-16.64%)
well chosen subject
(-22.22%)
well framed subject
(-36.11%)
well timed shot
(-4.75%)
all
(0.50%)
* 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.