Photos | The Bookshelf in my Room

A stack of books organized on my bookshelf in Los Angeles, California.
BLIP-2 Description:
a stack of books on a deskMetadata
Capture date:
Original Dimensions:
3272w x 3022h - (download 4k)
Usage
Dominant Color:
Location:
prom alr pokerpeek cushion us furniture container company republican wildlife houdin linen wihaine bicycle world anniversary mr etro round ™ poker indoors er coussin irtsa shion beatles sushion shelf states sa finish library g cassette park made card edi playing bookcase peating hion cushionfinish heir itise fund plating size come diamond air carton fini pro zushion unhed united book south enited publication d'a corners
Detected Text
2 23th 3 5 a air alr anniversary beatles bicycle card come company corners coussin cushion cushionfinish d'a diamond e edi enited er etro f face fini finish fund g hand heir hion houdin in irtsa itise linen made mr n peating plating playing poker pokerpeek pro prom republican round s sa shion size states sushion the u unhed united us wihaine wildlife world zushion ™
iso
400
metering mode
5
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
2015-12-08T17:46:36.005000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(32.86%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.15%)
failure
(-0.22%)
harmonious color
(-1.26%)
immersiveness
(0.51%)
interaction
(1.00%)
interesting subject
(-46.53%)
intrusive object presence
(-2.25%)
lively color
(13.21%)
low light
(6.30%)
noise
(-9.91%)
pleasant camera tilt
(-7.84%)
pleasant composition
(-24.41%)
pleasant lighting
(-9.00%)
pleasant pattern
(24.05%)
pleasant perspective
(5.72%)
pleasant post processing
(5.06%)
pleasant reflection
(-1.68%)
pleasant symmetry
(1.20%)
sharply focused subject
(0.81%)
tastefully blurred
(2.17%)
well chosen subject
(-2.33%)
well framed subject
(-22.09%)
well timed shot
(3.03%)
all
(2.73%)
* 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.