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mlops-course-001
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Runs
30
Name
30 visualized
daily-sweep-25
daily-sweep-25
cerulean-sweep-24
cerulean-sweep-24
stellar-sweep-23
stellar-sweep-23
giddy-sweep-22
giddy-sweep-22
super-sweep-21
super-sweep-21
dandy-sweep-20
dandy-sweep-20
polished-sweep-19
polished-sweep-19
blooming-sweep-18
blooming-sweep-18
icy-sweep-17
icy-sweep-17
jumping-sweep-16
jumping-sweep-16
honest-sweep-15
honest-sweep-15
scarlet-sweep-14
scarlet-sweep-14
serene-sweep-13
serene-sweep-13
bumbling-sweep-12
bumbling-sweep-12
curious-sweep-11
curious-sweep-11
eager-sweep-10
eager-sweep-10
drawn-sweep-9
drawn-sweep-9
drawn-sweep-8
drawn-sweep-8
astral-sweep-7
astral-sweep-7
fancy-sweep-6
fancy-sweep-6
1-20
of 30
Settings
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Tables
1
runs
.
summary
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pred_table
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⏎
Filter
0.9684
0.882
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0
0
0.9437
-
0.94
0.9478
0
0
0
0.6657
-
0.9467
0.9281
-
0
0
0.6859
-
0.9493
0.941
-
0
-
0.8351
-
0.9537
0.8299
0
0
-
0.9376
-
0.9734
0.9739
-
0
-
0.8811
-
Image
background IoU
road IoU
traffic light IoU
traffic sign IoU
person IoU
vehicle IoU
bicycle IoU
1
2
3
4
5
6
7
Charts
28
1-6 of 28
System
18
1-6 of 18
Add section
List<Maybe<File<(table)>>>
Ops
.contents
.count
.digest
.dropna
.filter((row) => row)
.isNone
.join(, (row) => row, (row) => row, "", "", , )
.joinToStr("")
.map((row, index) => row)
.merge("")
.size
.table
.table("")
[]
.project
.run