Photos | Furry Roommates on the Coffee Table

A dog and cat coexist peacefully on a coffee table in a San Francisco living room, surrounded by urban architecture and potted plants.
BLIP-2 Description:
a dog and cat are sitting on a tableMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
culoring civic urban plant portrait chair tablet flooring text design coffee thail white canine electronics los walking photography californi relaxation shelter architecture lucy flower transportation pet bout tennis city sol indoors book san vehicle screen table high potted plant center hospital cushion linen box hi-li dining table rise neighborhood cat plywood furniture wood francisco document desk dining pc interior sport room sleeping monitor bed office puppy laptop decor mammal cup computer toy bulldog glass building window publication outdoors bookcase library living condo rug barbay dog hardware const ball metropolis car accessories couch anceles housing home hound plate phone animal floor
Detected Text
iso
32
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
37.78
longitude
-122.42
shutter speed
1/170s
camera make
Apple
camera model
date
2020-04-14T12:05:22.264000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(47.14%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.58%)
failure
(-0.12%)
harmonious color
(3.13%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(8.54%)
intrusive object presence
(-6.03%)
lively color
(-10.58%)
low light
(3.17%)
noise
(-3.03%)
pleasant camera tilt
(-10.30%)
pleasant composition
(-46.46%)
pleasant lighting
(-18.44%)
pleasant pattern
(8.69%)
pleasant perspective
(15.48%)
pleasant post processing
(1.60%)
pleasant reflection
(-3.69%)
pleasant symmetry
(1.17%)
sharply focused subject
(0.73%)
tastefully blurred
(-0.16%)
well chosen subject
(-13.93%)
well framed subject
(10.33%)
well timed shot
(7.27%)
all
(0.46%)
* 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.