Photos | Industrial Machinery in Action

This machine with its attached hose is doing some heavy lifting, as it operates in a factory setting for manufacturing goods.
BLIP-2 Description:
a close up of a machine with a hose attached to itMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
checks date lcls architecture scooter po mechanical building beam agnet coil transportation interlocked injector everson tas required weight cover lock pps slac rotor manufacturing tore gun hazard lathe qe machine tesla direction made magnetic incorporated serial amp factory wiring magnet warning work vehicle passed beginning amps device quadrupole € workshop spiral tests weapon electrical
Detected Text
0000062286 025 06 17 218 36 6 8 a agnet amp amps beam beginning checks cover date direction electrical everson hazard in incorporated injector interlocked is lcls lock made magnet magnetic mechanical not ok passed po pps qe quadrupole required s serial slac t tas tesla tests tore u warning weight work €
iso
1600
metering mode
5
aperture
f/5.6
focal length
24mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2009-09-30T11:11:32.030000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(39.67%)
curation
(50.00%)
highlight visibility
(1.99%)
behavioral
(10.17%)
failure
(-0.24%)
harmonious color
(1.66%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-44.29%)
intrusive object presence
(-7.76%)
lively color
(3.61%)
low light
(20.90%)
noise
(-0.68%)
pleasant camera tilt
(-3.65%)
pleasant composition
(-41.89%)
pleasant lighting
(-12.16%)
pleasant pattern
(5.86%)
pleasant perspective
(13.34%)
pleasant post processing
(2.53%)
pleasant reflection
(-1.34%)
pleasant symmetry
(2.83%)
sharply focused subject
(10.21%)
tastefully blurred
(22.91%)
well chosen subject
(-3.82%)
well framed subject
(41.85%)
well timed shot
(5.71%)
all
(2.33%)
* 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.