Photos | Bookstacked Desk

A pile of publications sitting on a shelf in Los Angeles, California, taken in December 2015.
BLIP-2 Description:
a stack of books on a deskMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
r pokerpeek di cushion comp us furniture container peati company republican wildlife stic linen bicycle usa world anniversary mr round ™ indoors poker coussin jeff beatles sushion shelf states ning finish library p cushipe ir cassette made park card buckley playing bookcase live cushionfinish fund size diamond air ede fin carton ai fini pro ton unhed united fineunited box book south publication planet pleting etrd fac document corners
Detected Text
123th 2 3 a ai air anniversary beatles bicycle buckley card comp company corners coussin cushion cushionfinish cushipe d di diamond ede etrd fac face fin fineunited fini finish fund hand in ir jeff linen live made mr n ning p peati planet playing pleting poker pokerpeek pro r republican round s size states stic sushion the ton u unhed united us usa wildlife world ™
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
(31.69%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.15%)
failure
(-0.22%)
harmonious color
(-2.07%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-48.97%)
intrusive object presence
(-2.00%)
lively color
(14.26%)
low light
(21.78%)
noise
(-3.17%)
pleasant camera tilt
(-6.74%)
pleasant composition
(-15.11%)
pleasant lighting
(-22.19%)
pleasant pattern
(18.97%)
pleasant perspective
(8.35%)
pleasant post processing
(3.88%)
pleasant reflection
(-3.38%)
pleasant symmetry
(1.51%)
sharply focused subject
(0.93%)
tastefully blurred
(5.32%)
well chosen subject
(-2.50%)
well framed subject
(-3.46%)
well timed shot
(4.30%)
all
(2.11%)
* 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.