Photos | Summer Bliss at La Jerena Mill, Palm Springs
Enjoy the serene elegance of La Jerena Mill under the radiant sun and pristine blue skies, punctuated with graceful palm trees and inviting pool, inviting you for a refreshing mid-summer dip. Captured on July 14, 2023, this hidden gem in Palm Springs extends the warmth of the distinctive architecture of the Southwest Extreme Triangle, United States. Lounge in the sprawling backyard, bask in the vibrant greens, and make unforgettable memories in this charming haven.
BLIP-2 Description:
la jerena millMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
urban vegetation scenery south palm transportation outdoor water house randoms backyard tropical swimming resort sun porch sky tree waterfront cloud potted housing chair city condo daytime yacht table building villa shoreline outdoors nature cloudy hotel umbrella vill deck plant landscape bed beach cup downtown vehicle yard springs architecture blue utensil summer serena historic tennis club coast furniture shrub patio la dining pool shelter sea land
iso
50
metering mode
5
aperture
f/2.2
focal length
2mm
latitude
33.82
longitude
-116.55
shutter speed
1/4000s
camera make
Apple
camera model
overall
(40.48%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.32%)
harmonious color
(7.31%)
immersiveness
(1.42%)
interaction
(1.00%)
interesting subject
(-3.48%)
intrusive object presence
(-8.35%)
lively color
(17.27%)
low light
(2.98%)
noise
(-3.76%)
pleasant camera tilt
(-8.40%)
pleasant composition
(-23.08%)
pleasant lighting
(-14.73%)
pleasant pattern
(9.59%)
pleasant perspective
(2.48%)
pleasant post processing
(1.46%)
pleasant reflection
(-5.25%)
pleasant symmetry
(0.63%)
sharply focused subject
(0.46%)
tastefully blurred
(-6.56%)
well chosen subject
(-20.64%)
well framed subject
(-17.11%)
well timed shot
(21.96%)
all
(3.65%)
* 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.