Photos | The Written Wall of 2018

A wall covered in handwriting that documents the artistry of a blackboard.
BLIP-2 Description:
a wall covered in writingMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
delatte page bancolombi di darias ind unsinkables robustwealth handwriting hearsi eyer health rednet friend brillio ore lech defense future sune host fa productivity se dumped gital ubisoft danone alleb ng marketedge net score platfori quad pari online symante blackboard povered jo korbit lifelock el ai hese bancolombial consultingy лов drans jess induelle manauran magellan art ignition verás rain gile document
Detected Text
1 2009 2018 4 404 7ventures 819 ai alleb bancolombi bancolombial brillio com consultingy danone darias defense delatte di drans dumped el eyer fa friend future gile gital health hearsi hese host ignition in ind induelle jess jo korbit lech lifelock magellan manauran marketedge net ng online ore page pari platfori povered productivity quad rain rednet robustwealth score se sune symante the to ubisoft unsinkables verás лов
iso
400
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/42s
camera make
Apple
camera model
lens model
date
2018-11-26T12:06:02.243000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(31.20%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.15%)
failure
(-2.22%)
harmonious color
(4.31%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(-50.83%)
intrusive object presence
(-3.88%)
lively color
(-12.82%)
low light
(75.83%)
noise
(-7.47%)
pleasant camera tilt
(-3.96%)
pleasant composition
(-24.05%)
pleasant lighting
(-19.69%)
pleasant pattern
(6.25%)
pleasant perspective
(5.45%)
pleasant post processing
(-9.97%)
pleasant reflection
(0.88%)
pleasant symmetry
(0.88%)
sharply focused subject
(1.95%)
tastefully blurred
(0.68%)
well chosen subject
(-7.39%)
well framed subject
(-25.56%)
well timed shot
(4.39%)
all
(-0.74%)
* 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.