Photos | Tranquility Manifested: Bayfront Park, 2023

This serene image, taken in the beautiful Bayfront Park, Millbrae, highlights the harmony between man-made symbol and Mother Nature. The sign stands as a guide through lands laden with robust grass, a placid pond, stately trees, and an inviting boardwalk, all lending to a scenic and tranquil retreat. Notice the intertwining of transportation elements, from the distant train to the road sign; this scene balances solitude with connectivity, stretching out to meet the pristine lake and vast sky beyond.
BLIP-2 Description:
a sign that is on a poleMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
Location:
train swamp plant wilderness der environment boardwalk outdoors area transportation pond chil field road outdoor marsh tundra sky landscape land street grassland scenery entry water waterfront salt nature sign lake grass vehicle restricted bayfront bridge railway prairie subject natural pier unauthorized park symbol enter
Detected Text
iso
100
metering mode
5
aperture
f/8
exposure bias
0.5
focal length
24mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2023-07-01T15:15:58.711000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(61.77%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.35%)
failure
(-0.20%)
harmonious color
(14.94%)
immersiveness
(2.78%)
interaction
(1.00%)
interesting subject
(-4.66%)
intrusive object presence
(-2.69%)
lively color
(6.56%)
low light
(0.51%)
noise
(-0.54%)
pleasant camera tilt
(-3.64%)
pleasant composition
(41.02%)
pleasant lighting
(33.86%)
pleasant pattern
(4.15%)
pleasant perspective
(33.57%)
pleasant post processing
(3.86%)
pleasant reflection
(1.86%)
pleasant symmetry
(0.98%)
sharply focused subject
(1.88%)
tastefully blurred
(-0.40%)
well chosen subject
(6.20%)
well framed subject
(19.26%)
well timed shot
(-1.14%)
all
(16.22%)
* 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.