Photos | Canine Companion on a Wooden Bench
![Canine Companion on a Wooden Bench](https://eecue.com/img/640/d7ebececf0.jpg)
A loyal dog sits on a rustic bench, gazing at its human companion in the beautiful outdoors of San Gregorio, California. The neighborhood ambiance and charming building architecture make for the perfect backdrop.
BLIP-2 Description:
a dog sitting on a bench looking at a personMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
urban planter dress glasses animal interior potted chair nature ball yard sunglasses accessories dining flooring coffee wood canine barefoot portrait restaurant backyard hound 廿 path sky housing plywood table building sidewalk electronics outdoors desk plant hardwood summer patio photography indoors wheel drinks transportation vase grass shorts mammal bench car villa shoe living pottery alley neighborhood architecture machine design furniture street couch outdoor house water bulldog footwear porch 盘 tree waterfront tennis floor city puppy pet 日 日日 room deck tent pants road vehicle speaker sport shelter jar dog
iso
25
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
37.33
longitude
-122.39
shutter speed
1/294s
camera make
Apple
camera model
overall
(42.41%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.72%)
failure
(-0.12%)
harmonious color
(2.94%)
immersiveness
(0.90%)
interaction
(1.00%)
interesting subject
(-10.39%)
intrusive object presence
(-16.67%)
lively color
(-2.21%)
low light
(0.34%)
noise
(-3.66%)
pleasant camera tilt
(-8.52%)
pleasant composition
(-67.82%)
pleasant lighting
(8.12%)
pleasant pattern
(5.52%)
pleasant perspective
(9.48%)
pleasant post processing
(2.10%)
pleasant reflection
(0.88%)
pleasant symmetry
(0.68%)
sharply focused subject
(0.66%)
tastefully blurred
(2.13%)
well chosen subject
(-32.69%)
well framed subject
(6.93%)
well timed shot
(9.69%)
all
(0.60%)
* 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.