Photos | DODOC Converter Presented at the DMC Show
The DODOC converter is a game-changer in the world of electronics, seamlessly transforming text documents for use on a variety of computer hardware.
BLIP-2 Description:
dodoc converter at the dmc showChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
complex parts integration computer charging structure denso features dual volume controllable reduced conversion synchronous magnetic air document converter coll specifications adapter cooled text unique hardware dc auxiliary weapon installation downsized gun battery transforme firearm power rectification choke electronics standalone circuit handgun loss system
Detected Text
12 120a 13 15v 288v 350mmy95minx105mm 36 air auxiliary battery by charging choke circuit coll complex controllable conversion converter cooled dc denso downsized dual features for installation integration loss magnetic parts power rectification reduced specifications standalone structure synchronous system to transforme unique volume
iso
1600
metering mode
5
aperture
f/2.8
focal length
70mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2007-12-04T12:57:05-08:00
tzoffset
-28800
tzname
America/Los_Angeles
curation
(25.00%)
highlight visibility
(2.44%)
behavioral
(70.35%)
failure
(-1.32%)
harmonious color
(-3.44%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-89.06%)
intrusive object presence
(-9.03%)
lively color
(-22.61%)
low light
(4.30%)
noise
(-2.76%)
pleasant camera tilt
(-10.36%)
pleasant composition
(-55.42%)
pleasant lighting
(-33.62%)
pleasant pattern
(0.85%)
pleasant perspective
(-8.28%)
pleasant post processing
(-11.89%)
pleasant reflection
(-5.26%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.56%)
tastefully blurred
(-22.36%)
well chosen subject
(-2.72%)
well framed subject
(8.30%)
well timed shot
(-6.74%)
all
(-10.68%)
* 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.