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:
ede playing pro company r ir buckley linen cushion coussin p peati fac poker di jeff container size stic world pokerpeek diamond publication usa states united comp air fini ™ ai cushionfinish document finish pleting republican furniture south made beatles carton wildlife corners fin card sushion shelf bookcase bicycle live unhed us ton planet fund box etrd fineunited mr anniversary ning library cassette round indoors book cushipe park
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.