Photos | Playtime in the Living Room

Frida Kahlo's dog and cat enjoy some indoor fun while surrounded by stylish furniture and greenery in San Francisco.
BLIP-2 Description:
a dog and a cat playing in a living roomMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
united states room couch cushion decorative urban furniture puppy decor potted floor apple continental united states civic hardware screen home armchair van plant tv entertainment mammal indoors electronics max window animal sport chair tennis iphone building architecture ave pointer monitor pet dog san lucy frida kahlo april table rug ball francisco pro hound flooring ness swivel computer spring california canine coffee interior design center tennis ball hi-li living room ca wood
iso
100
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
37.78
longitude
-122.42
shutter speed
1/60s
camera make
Apple
camera model
date
2020-04-09T16:53:47.493000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(34.79%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.49%)
failure
(-0.32%)
harmonious color
(0.67%)
immersiveness
(0.54%)
interaction
(1.00%)
interesting subject
(-26.00%)
intrusive object presence
(-5.64%)
lively color
(10.36%)
low light
(1.05%)
noise
(-2.54%)
pleasant camera tilt
(-13.22%)
pleasant composition
(-50.44%)
pleasant lighting
(-24.12%)
pleasant pattern
(9.16%)
pleasant perspective
(-10.23%)
pleasant post processing
(2.28%)
pleasant reflection
(-1.87%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.98%)
tastefully blurred
(-6.98%)
well chosen subject
(-34.89%)
well framed subject
(-16.91%)
well timed shot
(3.43%)
all
(-3.22%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.