Photos | Embracing Adventure and Wilderness

December 30, 2023 - An incredible day spent hiking on a beautiful hillside. With nature as our backdrop, trousers and boots as our squad, and the excited spirit of adventure pulsating in our hearts, every sight became an awe-inspiring portrait. Proving once again that nature is the perfect playground for those who are #WildAtHeart. Note: The ubiquitous glasses were a stylish, yet practical prophylaxis against the December sun.
BLIP-2 Description:
a man and woman standing on a hillsideMetadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
wilderness scenery jacket knitwear path cap range grass surf outdoors activities mavericks jeans agriculture day blouse sky luke v plant shoe tree adventure hiking natural environment accessories shirt bag photography rock mountain outdoor woodland pants sunglasses glasses footwear grassland optical equipment vegetation landscape pacifica portrait sweater trail peak walking jeanette farm blazer land cloudy leisure hat big nature soil field coat
iso
2500
metering mode
5
aperture
f/11
focal length
16mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2023-12-30T16:37:26-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(47.68%)
curation
(68.88%)
highlight visibility
(5.95%)
behavioral
(90.77%)
failure
(-0.51%)
harmonious color
(-1.37%)
immersiveness
(2.42%)
interaction
(1.00%)
interesting subject
(15.27%)
intrusive object presence
(-10.50%)
lively color
(-18.07%)
low light
(5.47%)
noise
(-2.69%)
pleasant camera tilt
(-2.19%)
pleasant composition
(10.52%)
pleasant lighting
(-10.75%)
pleasant pattern
(1.59%)
pleasant perspective
(8.70%)
pleasant post processing
(-6.85%)
pleasant reflection
(-0.01%)
pleasant symmetry
(0.93%)
sharply focused subject
(3.71%)
tastefully blurred
(-8.92%)
well chosen subject
(3.91%)
well framed subject
(48.68%)
well timed shot
(6.35%)
all
(4.39%)
* 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.