Photos | A Canine's Resting Spot
A furry friend takes a break on a brick walkway in Avila Beach amidst a lush green landscape.
BLIP-2 Description:
a dog is standing on a brick walkwayChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
path grass city potted sky play area indoors outdoor road park backyard swimwear ball green house canine cloudy oak vase soil housing walkway room shelter rainforest villa dining sitting bulldog plant accessories sidewalk rock planter animal swimming building architecture pointer pet dog grassland landscape water palm herbal lawn hound handbag trunk design slate furniture desk lady li hill waterfront tree summer bag woodland street tennis sunglasses beach jar bench pottery shoreline field boxer scenery pool herbs leaf outdoors urban puppy coast sea mammal photography sport chair hi jungle flagstone vegetation portrait interior table grove walking yard land flower patio nature neighborhood
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
35.21
longitude
-120.72
shutter speed
1/1412s
camera make
Apple
camera model
lens model
date
2019-03-04T12:42:12.600000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(34.79%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.69%)
failure
(-0.59%)
harmonious color
(0.17%)
immersiveness
(1.34%)
interaction
(1.00%)
interesting subject
(-25.63%)
intrusive object presence
(-6.52%)
lively color
(12.22%)
low light
(7.25%)
noise
(-4.25%)
pleasant camera tilt
(-5.34%)
pleasant composition
(-50.39%)
pleasant lighting
(-22.71%)
pleasant pattern
(6.49%)
pleasant perspective
(-4.59%)
pleasant post processing
(-2.14%)
pleasant reflection
(2.10%)
pleasant symmetry
(0.32%)
sharply focused subject
(1.05%)
tastefully blurred
(-11.47%)
well chosen subject
(-29.61%)
well framed subject
(-7.67%)
well timed shot
(2.00%)
all
(-2.61%)
* 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.