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:
rock urban plant portrait chair lady sea field design li grassland scenery canine walking shoreline photography handbag pool architecture shelter summer flower sidewalk walkway tree slate leaf road outdoor pet tennis hill landscape city swimwear street jungle bench herbs indoors waterfront oak grass green table play area cloudy vegetation neighborhood soil beach yard flagstone rainforest furniture house sky bag swimming grove desk dining water path boxer interior sunglasses sport room woodland coast puppy potted mammal lawn park herbal bulldog villa trunk building outdoors jar patio planter pottery land dog sitting hi ball nature vase pointer backyard accessories housing hound palm animal
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.