Photos | A Display of Electric Motors and Wheels

This collection showcases an array of electric motors, wheels, and other machine components, perfect for any transportation enthusiast.
BLIP-2 Description:
a display of electric motors and other itemsMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
times page compact spoke overload motor sensors power coil peak transportation excited weight rotor text design voltage capability disk synchronous document resolver machine gear hall kw tire poles wheel datas nm torque vehicle car permanent dc vac characteristics high rated sensor kg sin rpm alloy technical pms printed cos motorfeedback spiral perm efficiency
Detected Text
0 080 1,5 1000 110 12 2,8 24 29 3 3,7 4 500 560 6000 67 8 87 9063 96 capability characteristics compact cos datas dc design disk efficiency excited hall high kg kw motor motorfeedback nm overload peak perm permanent pms poles power rated resolver rpm sensor sensors sin synchronous technical times to torque up v vac voltage w weight with
iso
1600
metering mode
5
aperture
f/2.8
focal length
42mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
date
2007-12-04T12:34:36-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(23.58%)
curation
(25.00%)
highlight visibility
(2.44%)
behavioral
(70.24%)
failure
(-0.76%)
harmonious color
(1.54%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-71.00%)
intrusive object presence
(-15.14%)
lively color
(-15.28%)
low light
(3.64%)
noise
(-6.23%)
pleasant camera tilt
(-10.28%)
pleasant composition
(-70.75%)
pleasant lighting
(-29.20%)
pleasant pattern
(3.64%)
pleasant perspective
(-3.37%)
pleasant post processing
(4.08%)
pleasant reflection
(-6.86%)
pleasant symmetry
(0.49%)
sharply focused subject
(0.78%)
tastefully blurred
(3.41%)
well chosen subject
(-13.93%)
well framed subject
(-20.14%)
well timed shot
(-5.52%)
all
(-7.34%)
* 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.