Dataset Versions
Versions
2023-04-18 2:57pm
v31
·
2 years ago
7 classes
v30
·
2 years ago
2023-04-15 11:39pm
v29
·
2 years ago
more test
v28
·
2 years ago
FinalVersion1
v27
·
2 years ago
2023-04-14 8:35pm
v26
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2 years ago
2023-04-14 8:33pm
v25
·
2 years ago
2023-04-14 9-32am
v24
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2 years ago
2023-04-13 11:54pm
v23
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2 years ago
Categorizeclasses
v22
·
2 years ago
2023-04-13 9:27pm
v21
·
2 years ago
NoAugmentation
v20
·
2 years ago
2023-04-13 3:00pm
v19
·
2 years ago
2023-04-13 12:05pm
v18
·
2 years ago
2023-04-13 11:08am
v17
·
2 years ago
2023-04-13 10:49am
v16
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2 years ago
2023-04-13 9:52am
v15
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2 years ago
2023-04-13 9:22am
v14
·
2 years ago
2023-04-13 9:02am
v13
·
2 years ago
2023-04-11 10:49am
v12
·
2 years ago
2023-04-10 10:09pm
v11
·
2 years ago
2023-04-10 9:51pm
v10
·
2 years ago
2023-04-10 8:50pm
v9
·
2 years ago
2023-04-10 10:32am
v8
·
2 years ago
2023-04-08 4:59pm
v7
·
2 years ago
2023-04-08 4:38pm
v6
·
2 years ago
2023-04-05 4:16pm
v5
·
2 years ago
2023-04-04 2:45pm
v4
·
2 years ago
2023-03-29 1:30pm
v3
·
2 years ago
2023-03-29 12:15am
v2
·
2 years ago
2023-03-26 8:02pm
v1
·
2 years ago
v22
Categorizeclasses
Generated on
Apr 13, 2023
2200 Total Images
View All ImagesDataset Split
Train
Set
94%
2076Images
Valid
Set
1%
23Images
Test
Set
5%
101Images
Preprocessing
Auto-Orient:
Applied
Static Crop:
22-78% Horizontal Region, 10-90% Vertical Region
Modify Classes:
31 remapped, 0 dropped
Augmentations
Outputs per training example:
3
Flip:
Horizontal
Rotation:
Between -15° and +15°
Grayscale:
Apply to 25% of images
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