Photos | Mountain Retreat
This pup knows how to relax with a drink and a view in Coconino National Forest in Sedona, Arizona. 🐾🏞️🍹 #Shelter #Outdoors #Furniture #Rock #Mountain #Nature #Dog #Animal #LivingRoom #Summer
BLIP-2 Description:
a dog sitting on a table with a drink and a mountain viewChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
rock plant portrait chair tablet lady cloud design coffee li cream glasses canine electronics photography range racket pool architecture straw shelter summer canyon food beverage tree outdoor pet tennis ice landscape swimwear sandal indoors shorts table drink valley milk soil furniture sky dessert swimming dining water interior sunglasses sport room sleeping juice puppy potted mammal cup computer cliff glass tableware building footwear desert peak rocks outdoors living utensil shoe pottery land dog sitting hi disposable cup mountain nature smoothie accessories couch countryside housing hound animal
iso
25
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
34.91
longitude
-111.85
shutter speed
1/1199s
camera make
Apple
camera model
date
2021-03-05T14:14:40.806000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(54.10%)
curation
(60.00%)
highlight visibility
(81.46%)
behavioral
(70.66%)
failure
(-0.05%)
harmonious color
(11.70%)
immersiveness
(0.83%)
interaction
(1.00%)
interesting subject
(17.36%)
intrusive object presence
(-13.28%)
lively color
(19.52%)
low light
(0.81%)
noise
(-0.56%)
pleasant camera tilt
(-5.26%)
pleasant composition
(-46.39%)
pleasant lighting
(23.65%)
pleasant pattern
(5.83%)
pleasant perspective
(14.23%)
pleasant post processing
(2.66%)
pleasant reflection
(-0.37%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.54%)
tastefully blurred
(-0.52%)
well chosen subject
(10.44%)
well framed subject
(-5.57%)
well timed shot
(15.43%)
all
(8.59%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
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.