Photos | Stacked Advertising Envelopes
A pile of vibrant orange envelopes filled with promotional printed pages, posters, business cards and text, ready to be mailed out to potential customers.
BLIP-2 Description:
a pile of orange envelopes with writing on themChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
ill december materials mail page collect personal vything preparation belonging discarded hillside lounge week text dear remove mailboxes document cleaning term file no poster friday thous business relabeling january remaining please folder advance later faculty envelope dco office clear card monday next spring thank paper printed advised advertisement meredith file binder
Detected Text
16th 2 2014 24th advance advised all and any be belonging by cleaning clear collect dco dear december discarded faculty for friday from hillside ill in january later lounge mailboxes materials meredith monday next no of office other out personal please preparation relabeling remaining remove spring term than thank the thous to up vything we week will you your
iso
40
metering mode
3
aperture
f/2.2
focal length
4mm
shutter speed
1/40s
camera make
Apple
camera model
lens model
date
2014-01-16T15:57:54.914000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.19%)
failure
(-0.37%)
harmonious color
(3.27%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-88.28%)
intrusive object presence
(-9.11%)
lively color
(6.18%)
low light
(0.29%)
noise
(-3.10%)
pleasant camera tilt
(-15.31%)
pleasant composition
(-65.19%)
pleasant lighting
(-14.14%)
pleasant pattern
(3.52%)
pleasant perspective
(-24.62%)
pleasant post processing
(-1.86%)
pleasant reflection
(-3.97%)
pleasant symmetry
(0.17%)
sharply focused subject
(1.05%)
tastefully blurred
(-1.89%)
well chosen subject
(-17.40%)
well framed subject
(-36.50%)
well timed shot
(-1.93%)
all
(-8.04%)
* 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.