Photos | The Control Panel
This intricate maze of switches and buttons serves as the ultimate control center for an array of electronics and computer hardware.
BLIP-2 Description:
a large panel with many buttons and switchesChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
2912w x 4368h - (download 4k)
Usage
amplifier local white board da vidso nasa converte lo computer electrical olo pend videl ® video usb videc inventory db display selec vidi device converter volt talk oscilloscope lambda cap pens hardware att bandwidth select viueu mhz freo ext alarm electronics switch goldstone machine remote freq unlock
Detected Text
0000 01 05 072 0b 0x1 10 112.2 113 114 125 12516582 142.26 16 165 18 202.24 22.24 232.74 24224 282.23 31724 318 356523 382.24 42124 511 9 998 alarm att bandwidth cap converte converter da db display ext freo freq if inventory l lambda lo local mhz n nasa o olo pend pens remote s selec select talk to unlock usb videc videl video vidi vidso viueu volt ®
iso
1600
metering mode
5
aperture
f/2.8
focal length
28mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2008-05-13T09:16:17-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(21.75%)
curation
(50.00%)
highlight visibility
(1.99%)
behavioral
(10.12%)
failure
(-0.27%)
harmonious color
(-1.30%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-65.58%)
intrusive object presence
(-3.08%)
lively color
(1.59%)
low light
(0.61%)
noise
(-0.56%)
pleasant camera tilt
(-10.71%)
pleasant composition
(-33.69%)
pleasant lighting
(-13.06%)
pleasant pattern
(44.82%)
pleasant perspective
(3.54%)
pleasant post processing
(0.72%)
pleasant reflection
(-7.68%)
pleasant symmetry
(4.76%)
sharply focused subject
(0.95%)
tastefully blurred
(1.15%)
well chosen subject
(-5.71%)
well framed subject
(-17.94%)
well timed shot
(0.68%)
all
(-0.28%)
* 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,
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