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:
coussin united jeff pleting corners usa poker box south ir air diamond etrd peati ede park cushipe states anniversary container shelf us book publication cassette size document carton ai mr r fin bicycle linen p sushion finish fac republican ™ library card live ton fund fini company di playing fineunited round stic pokerpeek indoors comp pro ning world unhed beatles wildlife furniture made bookcase buckley cushion cushionfinish planet
Detected Text
123th 2 3 ai air beatles bicycle buckley card corners cushion cushionfinish comp company cushipe d di diamond ede etrd fac fineunited fini ir jeff linen live mr made p peati planet pleting pokerpeek pro size states stic sushion ton unhed united us usa world a anniversary coussin face fin finish fund hand in n ning playing poker r republican round s the u wildlife ™
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
overall
(31.69%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.19%)
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.