Photos | Serene Morning at Fort Mason, 2023
A peaceful morning unfolds in Fort Mason in 2023, with the grassy hill gleaming under the partial cloud cover. The paths are well-trodden, weaving a gently winding road through the towering oak trees and stretching fields. Nature's calm is only occasionally broken by hearty laughter and the playful barking of dogs. Look closely, and you may spot some visitors enjoying the view from their conveniently placed chairs. Hidden are cars, hinting at the understated human presence in this idyllic landscape. The scene encapsulates a perfect summer's day in the countryside, proving that the best memories are often the simplest ones.
BLIP-2 Description:
a grassy hillMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
fort countryside ground scenery canine animal fir transportation natural outdoor eek grass path sky park meadow environment tree trunk chair grassland mammal farm daytime car oak lawn outdoors nature cloudy pet pasture field mason sycamore plant landscape rural road oak tree vehicle blue summer furniture morning hill dog land
iso
250
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
16mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
overall
(76.46%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.12%)
harmonious color
(20.12%)
immersiveness
(31.84%)
interaction
(2.00%)
interesting subject
(43.31%)
intrusive object presence
(-2.00%)
lively color
(1.56%)
low light
(1.78%)
noise
(-1.03%)
pleasant camera tilt
(0.25%)
pleasant composition
(66.60%)
pleasant lighting
(47.71%)
pleasant pattern
(4.96%)
pleasant perspective
(44.78%)
pleasant post processing
(8.20%)
pleasant reflection
(2.86%)
pleasant symmetry
(3.66%)
sharply focused subject
(4.39%)
tastefully blurred
(2.18%)
well chosen subject
(-3.42%)
well framed subject
(3.24%)
well timed shot
(3.83%)
all
(24.38%)
* 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.