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:
us g poker air sa beatles playing anniversary coussin ™ south publication size wildlife diamond er pokerpeek mr bookcase library heir states shion furniture wihaine come carton container republican zushion corners enited company itise fund cushionfinish world park alr plating shelf d'a made fini indoors bicycle cassette irtsa book edi prom round united unhed peating card pro houdin etro hion sushion cushion linen finish
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.