Photos | The Vibrant Pulse of Fort Mason

A snapshot taken on a clear December day in 2023 showcasing a dynamic fusion of daily life and architecture in Fort Mason. This picture perfectly encapsulates the rhythm of the city - a car parked in front of a building, sunlit faces, and a lively motorcycle on the road. Enjoy scenes blending urban and natural elements like roadside plants and clear blue skies. Dive into this fascinating tableau where man, machine, and nature harmoniously coexist.
BLIP-2 Description:
a car parked in front of a building with a sign on itMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture spoke plant building wall display coupe pay outdoors transportation sidewalk fort tree stall road outdoor community dash sky tarmac city license need facee land meter number machine no parking tire path bus nature wheel rekognition_c car grass vehicle receipt creative meet housing alloy plate lot automobile garden stop sports remember advertisement mason motorcycle car wheel shelter
Detected Text
iso
100
metering mode
5
aperture
f/6.3
focal length
24mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-12-10T15:12:16.800000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(46.58%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-0.07%)
harmonious color
(5.76%)
immersiveness
(1.07%)
interaction
(1.00%)
interesting subject
(-44.51%)
intrusive object presence
(-19.73%)
lively color
(-7.43%)
low light
(0.95%)
noise
(-0.98%)
pleasant camera tilt
(-9.17%)
pleasant composition
(-68.85%)
pleasant lighting
(4.67%)
pleasant pattern
(2.83%)
pleasant perspective
(22.61%)
pleasant post processing
(5.04%)
pleasant reflection
(-1.72%)
pleasant symmetry
(0.85%)
sharply focused subject
(0.90%)
tastefully blurred
(0.32%)
well chosen subject
(5.34%)
well framed subject
(-21.34%)
well timed shot
(-6.32%)
all
(1.44%)
* 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.