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:
community tarmac stall housing display machine mason shelter grass car wheel outdoors number dash wheel city nature vehicle car coupe license sky plant tree stop transportation creative parking tire garden sidewalk outdoor meet road plate building need architecture meter spoke wall automobile receipt pay sports no lot path bus rekognition_c land advertisement facee fort remember motorcycle alloy
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.