Photos | Feline Kitchen Intruder
Tim Wilson's cat takes over the kitchen, unphased by the dining table and paintings in the background.
BLIP-2 Description:
a cat is standing on a counter in a kitchenChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture cutlery civic dining room door spoon ca cat plant building fall frame meal chair food faucet fruit lamp jar living restaurant furniture states pet design arya wood pottery francisco iphone art knife shelf indoors dining interior united apple max san sink continental united states table room blade bed couch pro october lighting home potted center van ness ave decor mammal animal california floor produce painting weapon tim wilson toy
iso
250
metering mode
3
aperture
f/1.8
focal length
4mm
latitude
37.78
longitude
-122.42
shutter speed
1/60s
camera make
Apple
camera model
date
2019-10-01T19:43:53.531000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(29.91%)
curation
(60.00%)
highlight visibility
(81.45%)
behavioral
(70.47%)
failure
(-0.51%)
harmonious color
(-1.30%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(-49.24%)
intrusive object presence
(-30.64%)
lively color
(1.37%)
low light
(3.88%)
noise
(-2.25%)
pleasant camera tilt
(-12.32%)
pleasant composition
(-59.77%)
pleasant lighting
(-11.02%)
pleasant pattern
(9.11%)
pleasant perspective
(-8.41%)
pleasant post processing
(2.29%)
pleasant reflection
(-4.32%)
pleasant symmetry
(0.90%)
sharply focused subject
(0.34%)
tastefully blurred
(-16.00%)
well chosen subject
(-15.17%)
well framed subject
(-29.15%)
well timed shot
(-2.54%)
all
(-3.67%)
* 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.