Photos | High-Tech Monitor
This advanced computer monitor boasts the latest hardware and cutting-edge technology.
BLIP-2 Description:
a large monitor with a computer on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
diagram rasins warning river tanks mixer computer tv maine no sta plan recharge consumer electronics tank ved canon mix panel dmd position santa module peroxide chart arbonator saturators gap television lime bon computer program gar walina decare facili ro solution wed mew hardware consumer flow eos ludge plot cen alm barrier decarbonator winter screen site mors tro electronics marte train door machine flush masiei january monitor command modul ocwd hydrogen
Detected Text
005005d13400 007007d13400 008008513400 008008d13400 009009d13400 010010613406 0110 012012013400 013013613400 014014d13400 026026 11013400 13.22 23 30 3700 610d03fit 7107104113410 88 alm an barrier bon command decarbonator flush gap hydrogen ludge maine mew mix mixer module mors no peroxide recharge river ro santa saturators site solution tank tanks to train u ved walina warning
iso
100
metering mode
5
aperture
f/5.6
focal length
40mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2008-01-23T13:20:20-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(10.24%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.20%)
failure
(-0.46%)
harmonious color
(3.45%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-70.95%)
intrusive object presence
(-15.89%)
lively color
(14.76%)
low light
(0.90%)
noise
(-1.22%)
pleasant camera tilt
(-6.35%)
pleasant composition
(-10.97%)
pleasant lighting
(-24.76%)
pleasant pattern
(5.49%)
pleasant perspective
(14.43%)
pleasant post processing
(-13.09%)
pleasant reflection
(-6.12%)
pleasant symmetry
(2.88%)
sharply focused subject
(3.47%)
tastefully blurred
(1.94%)
well chosen subject
(4.77%)
well framed subject
(41.50%)
well timed shot
(-6.37%)
all
(-1.04%)
* 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.