Photos | Canine Cafe Culture

A dog enjoying a drink at a table surrounded by lush foliage and decorative plants, soaking up the sunny atmosphere of Monterey with his two human companions.
BLIP-2 Description:
a dog sitting at a table with a drinkMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
dining room urban plant portrait chair mojito lager porch new monterey coffee foliage li cream canine photography shelter architecture beer summer food flower beverage liquor walkway tree leaf restaurant road pet tennis ice city swimwear street alcohol lemonade herbs indoors waterfront rekognition_c grass table drink potted plant cocktail linen vegetation neighborhood labrador meal golden boardwalk plywood furniture house wood cannery drinking dessert dining water path sunglasses sport room juice puppy decor retriever mammal cup herbal bulldog glass tableware building decorative outdoors jar planter utensil deck pottery dog hi ball nature row vase smoothie accessories bridge housing home hound palm animal
iso
32
metering mode
5
aperture
f/1.6
focal length
5mm
latitude
36.61
longitude
-121.9
shutter speed
1/3086s
camera make
Apple
camera model
date
2021-04-04T14:16:08.895000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(44.80%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.52%)
failure
(-0.22%)
harmonious color
(0.86%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(0.88%)
intrusive object presence
(-12.23%)
lively color
(14.62%)
low light
(3.05%)
noise
(-2.64%)
pleasant camera tilt
(-1.04%)
pleasant composition
(-30.88%)
pleasant lighting
(3.27%)
pleasant pattern
(2.91%)
pleasant perspective
(10.56%)
pleasant post processing
(0.93%)
pleasant reflection
(-3.32%)
pleasant symmetry
(0.44%)
sharply focused subject
(8.74%)
tastefully blurred
(31.71%)
well chosen subject
(-49.44%)
well framed subject
(46.95%)
well timed shot
(10.84%)
all
(3.45%)
* 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.