Photos | Electronics in Focus

A screen displaying the marvels of computer hardware on the Caltech Scope on Chip album from 2008.
BLIP-2 Description:
a computer screen with a picture on itMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
date lap function chip ofm end program window edit keyboard documents size history figure current help workspace text command desktop denny editor scope document cadocuments 口 疆 file caltech_scope_on_chip machine hardware webpage cell ifinal settings settingsllap pc debug consumer electronics tools electronics close screen ham get monitor clear directory caltech laptop go started tv select computer 倡 desklopte matlab
Detected Text
0 06 08 1 1.0 10 11 12 13 14 15 20 200 30 31 3499 40 400 50 7 all and c cadocuments cell clear close command current date debug denny desklopte desktop directory documents edit editor end figure file function get go ham help history i ifinal lap m matlab my ofm or select settings settingsllap size started text the to tools window workspace 倡 口 疆
iso
1600
metering mode
5
aperture
f/5.6
focal length
35mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2008-08-01T10:37:17-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(5.69%)
curation
(25.00%)
highlight visibility
(2.44%)
behavioral
(70.26%)
failure
(-1.66%)
harmonious color
(-0.64%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-81.79%)
intrusive object presence
(-12.21%)
lively color
(-13.12%)
low light
(0.24%)
noise
(-5.00%)
pleasant camera tilt
(-6.70%)
pleasant composition
(-35.84%)
pleasant lighting
(-41.11%)
pleasant pattern
(2.08%)
pleasant perspective
(6.26%)
pleasant post processing
(3.36%)
pleasant reflection
(-1.74%)
pleasant symmetry
(0.68%)
sharply focused subject
(0.78%)
tastefully blurred
(3.18%)
well chosen subject
(-3.05%)
well framed subject
(21.78%)
well timed shot
(-5.70%)
all
(-6.17%)
* 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.