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 itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
directory ofm computer size clear denny function lap tv cadocuments go consumer electronics debug 疆 口 laptop ifinal keyboard close document desklopte editor documents desktop pc workspace tools ham settingsllap started help text hardware caltech date cell get matlab select chip settings current window screen program file caltech_scope_on_chip history electronics figure machine scope end monitor command 倡 webpage edit
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.