Photos | The Ultimate Shelfie

This LA-based book lover's dream shelf holds not just publications, but boxes, cartons, and other documents as well.
BLIP-2 Description:
a shelf full of books and other itemsMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
r pokerpeek atig document cushion us furniture iienenya container company fair republican wildlife 朋 mc linen madein bicycle usa world anniversary atr mr ™ indoors poker survive coussin shelf sde states 门 finish pagas library park ir made card playing bookcase wolldalel ed fund size diamond air ani carton pro united box book sar south want publication ii repul heqsa d'a corners
Detected Text
123th 2 3 8 a air ani anniversary atig atr bicycle card company corners coussin cushion d'a diamond do ed face fair finish fund heqsa ii iienenya in ir linen made madein mc mr pagas playing poker pokerpeek pro r republican repul s sar sde size states survive the to u united us usa want wildlife wolldalel world you ™ ②yod 朋 门
iso
400
metering mode
3
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.26
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2015-12-08T17:45:51.199000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(32.13%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.17%)
failure
(-0.27%)
harmonious color
(-0.96%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-47.29%)
intrusive object presence
(-1.68%)
lively color
(12.85%)
low light
(14.16%)
noise
(-2.39%)
pleasant camera tilt
(-3.92%)
pleasant composition
(-9.63%)
pleasant lighting
(-12.18%)
pleasant pattern
(21.58%)
pleasant perspective
(3.25%)
pleasant post processing
(0.41%)
pleasant reflection
(-1.55%)
pleasant symmetry
(1.39%)
sharply focused subject
(1.20%)
tastefully blurred
(1.65%)
well chosen subject
(-5.80%)
well framed subject
(0.85%)
well timed shot
(0.09%)
all
(2.54%)
* 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.