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:
coil machine warning tas checks lock weapon tore device € vehicle magnetic slac tesla rotor transportation required hazard amp qe workshop po beam building serial architecture made quadrupole injector lathe lcls cover date mechanical work wiring magnet manufacturing beginning agnet weight electrical spiral amps everson passed tests scooter direction interlocked pps factory incorporated gun
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.