Photos | A Literary Piggy
This cute little pig isn't just sitting on any old shelf - he's sitting on a bookshelf full of knowledge and adventure.
BLIP-2 Description:
a shelf with books on it and a pig on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
wilshire first socks caraw mole arnold publication mouse seuss's elephant vater ride piggie temple fine bookcase library van two mercy furniture one wil fishl wood document fly teathered watson mother blue shelf today hop triends indoors mo school dr book disguise red dusen read schories casau dicanillo bookshelf dicamillo fish goes con et palmer princess willems capucilli biscuit fox
Detected Text
a an are arnold biscuit blue book by can capucilli caraw casau con dicamillo dicanillo disguise dr dusen elephant et fine first fish fishl fly for fox goes hop i in mercy mo mole mother mouse my of one out palmer piggie princess read red ride schories seuss's socks teathered the today triends two van vater watson wil willems you
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2012-05-09T11:50:52.410000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.13%)
curation
(25.00%)
highlight visibility
(2.44%)
behavioral
(70.23%)
failure
(-0.73%)
harmonious color
(5.47%)
immersiveness
(0.66%)
interaction
(1.00%)
interesting subject
(-56.79%)
intrusive object presence
(-11.91%)
lively color
(-3.16%)
low light
(58.20%)
noise
(-3.05%)
pleasant camera tilt
(-10.22%)
pleasant composition
(-48.12%)
pleasant lighting
(-27.29%)
pleasant pattern
(5.10%)
pleasant perspective
(3.16%)
pleasant post processing
(-1.86%)
pleasant reflection
(-2.84%)
pleasant symmetry
(2.00%)
sharply focused subject
(0.61%)
tastefully blurred
(-6.83%)
well chosen subject
(4.67%)
well framed subject
(-13.83%)
well timed shot
(-7.74%)
all
(-2.56%)
* 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.