Photos | Urban Symphony: A Day at Fort Mason

Standing majestically beneath the vibrant city sky, this large building with a red roof perfectly encapsulates the harmony of urban life and architecture. The surrounding eight cars, indicating the hustle and bustle of the city, compliment the serene image of the building. The unexpected subtleties like the presence of birds, 3 chairs, and even 2 hats add depth to the metropolitan scene. Taken at Fort Mason on December 10th, 2023, this image is a perfect blend of architectural splendour and urban rhythm.
BLIP-2 Description:
a large building with a red roofMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
tarmac housing suburb machine mason grass bird city urban furniture intersection vehicle car plant tree shoe stop transportation bicycle helicopter accessories bag sign window outdoor roof animal chair road street building footwear architecture airport automobile tile metropolis condo handbag aircraft monastery house land fort hat motorcycle neighborhood symbol
Detected Text
iso
1000
metering mode
5
aperture
f/13
focal length
600mm
shutter speed
1/250s
camera make
Canon
camera model
date
2023-12-10T15:27:18.290000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(30.47%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.41%)
failure
(-0.22%)
harmonious color
(1.22%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-62.50%)
intrusive object presence
(-4.10%)
lively color
(-11.32%)
low light
(0.46%)
noise
(-0.56%)
pleasant camera tilt
(-11.44%)
pleasant composition
(-76.07%)
pleasant lighting
(-8.36%)
pleasant pattern
(22.71%)
pleasant perspective
(1.72%)
pleasant post processing
(-0.60%)
pleasant reflection
(-8.01%)
pleasant symmetry
(1.15%)
sharply focused subject
(0.34%)
tastefully blurred
(-13.45%)
well chosen subject
(0.20%)
well framed subject
(-55.03%)
well timed shot
(2.02%)
all
(-3.50%)
* 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.