Photos | Data Visualization on a Green Wall

A large monitor displays various data on a green wall, using advanced computer hardware and electronics technology in Phoenix, Southwest Extreme Triangle, United States.
BLIP-2 Description:
a green wall with a large monitor displaying various dataMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
white mm tv time unavailable coll comparison question agent vip screen number general issue date text scheduled longest average ono ratio abandon vs target waiting calls monitor hardware queue handle volume team ss chart live unavallable service voicemail per wait board computer hour ohroniv latest logged schedulec transfer level call incoming document hot ivr status electronics avg
Detected Text
0 0.00 00 03 06 09 10 111.37 12 2 20 26 28 29 3 517 63 65 80 91 agent average avg comparison date general hour in incoming ivr live latest logged m o ohroniv question queue ratio s schedulec scheduled service ss status target transfer unavallable voicemail volume vip abandon call calls coll for handle hot issue level longest mm number ono per team time unavailable vs wait waiting
iso
50
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
33.31
longitude
-111.98
shutter speed
1/120s
camera make
Apple
camera model
lens model
overall
(35.74%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.12%)
failure
(-0.29%)
harmonious color
(13.57%)
immersiveness
(0.98%)
interaction
(1.00%)
interesting subject
(-37.04%)
intrusive object presence
(-1.32%)
lively color
(26.68%)
low light
(2.37%)
noise
(-2.56%)
pleasant camera tilt
(-3.36%)
pleasant composition
(10.93%)
pleasant lighting
(2.43%)
pleasant pattern
(9.11%)
pleasant perspective
(14.23%)
pleasant post processing
(4.97%)
pleasant reflection
(-1.07%)
pleasant symmetry
(4.66%)
sharply focused subject
(3.93%)
tastefully blurred
(10.94%)
well chosen subject
(11.99%)
well framed subject
(39.89%)
well timed shot
(4.07%)
all
(9.59%)
* WARNING: The title and caption of this image were generated with AI (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.