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:
us poker air r playing anniversary coussin atr wolldalel ™ south publication repul fair size ir wildlife box diamond pokerpeek mr 门 library bookcase states furniture carton container republican sar sde corners usa company document ii fund park world want shelf d'a made indoors bicycle 朋 book united ed atig card heqsa pro iienenya madein mc pagas ani cushion linen survive finish
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.