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
defense consultingy page productivity korbit manauran danone net symante health ng sune blackboard brillio unsinkables eyer score handwriting bancolombi hese marketedge ind ore delatte document induelle jo platfori лов ai art gile future quad hearsi fa host rain lifelock friend di alleb online verás robustwealth gital magellan dumped lech el povered drans ignition jess se pari bancolombial ubisoft rednet darias
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.