Photos | Reflective Tranquility in Presidio, 2023

Captured on July 23, 2023, Hendrik Kerstens radiates calm simplicity, embraced by the lush lawns of Presidio Park. A merging of man and nature, this striking image invites contemplation amidst the backdrop of urban life and blue, cloudy skies.
BLIP-2 Description:
a man is sitting on a red chair in a parkMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
architecture neighborhood urban plant building portrait footwear baby outdoors transportation wristwatch hendrik kerstens area cloud tree furniture outdoor presidio campus sky shoe city sandal land bird glove bench machine dave shirt glasses helmet nature car grass vehicle college accessories play housing automobile photography animal wesley lawn cloudy body part park toy
iso
100
metering mode
5
aperture
f/10
focal length
28mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2023-07-23T16:30:43.888000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.95%)
curation
(68.29%)
highlight visibility
(5.91%)
behavioral
(90.77%)
failure
(-0.61%)
harmonious color
(0.17%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(26.49%)
intrusive object presence
(-16.55%)
lively color
(-24.08%)
low light
(24.49%)
noise
(-1.32%)
pleasant camera tilt
(-4.27%)
pleasant composition
(-30.71%)
pleasant lighting
(-49.07%)
pleasant pattern
(2.03%)
pleasant perspective
(12.33%)
pleasant post processing
(-2.76%)
pleasant reflection
(1.37%)
pleasant symmetry
(0.73%)
sharply focused subject
(0.42%)
tastefully blurred
(-12.66%)
well chosen subject
(-22.00%)
well framed subject
(31.05%)
well timed shot
(37.38%)
all
(-0.39%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.