allinone_mold_bold Image Dataset
Versions
2023-11-06 9:46pm
v23
Nov 6, 2023
2023-09-15 5:22pm
v22
Sep 15, 2023
2023-09-15 5:20pm
v21
Sep 15, 2023
2023-09-15 4:17pm
v20
Sep 15, 2023
2023-09-15 4:15pm
v19
Sep 15, 2023
2023-09-14 10:43pm
v18
Sep 14, 2023
2023-09-13 8:23pm
v17
Sep 13, 2023
2023-09-13 8:12pm
v16
Sep 13, 2023
2023-09-04 8:54pm
v15
Sep 4, 2023
2023-09-04 8:33pm
v14
Sep 4, 2023
2023-09-01 9:06pm
v13
Sep 1, 2023
2023-09-01 5:45pm
v12
Sep 1, 2023
2023-09-01 2:45pm
v11
Sep 1, 2023
2023-07-28 12:14pm
v10
Jul 28, 2023
2023-07-25 11:06am
v9
Jul 25, 2023
2023-07-13 3:51pm
v8
Jul 13, 2023
2023-07-13 3:46pm
v7
Jul 13, 2023
2023-07-10 5:48pm
v6
Jul 10, 2023
2023-07-10 5:40pm
v5
Jul 10, 2023
2023-07-07 6:47pm
v4
Jul 7, 2023
2023-06-30 10:09am
v3
Jun 30, 2023
2023-06-28 10:16pm
v2
Jun 28, 2023
2023-06-14 2:55pm
v1
Jun 14, 2023
v23
2023-11-06 9:46pm
Generated on Nov 6, 2023
1647 Total Images
View All Images
Dataset Split
Train Set 100%
1647Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -7° and +7°
Cutout: 4 boxes with 5% size each
Bounding Box: Blur: Up to 1.5px
Bounding Box: Noise: Up to 1% of pixels
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