Dataset Versions
Versions
2023-05-01 1:55pm
v9
· 2 years ago
2023-05-01 1:40pm
v8
· 2 years ago
2023-04-29 7:37pm
v7
· 2 years ago
2023-04-29 4:54pm
v6
· 2 years ago
2023-04-29 4:48pm
v5
· 2 years ago
2023-04-29 4:46pm
v4
· 2 years ago
2023-04-18 3:00pm
v3
· 2 years ago
2023-04-18 12:55pm
v2
· 2 years ago
2023-04-18 12:44pm
v1
· 2 years ago
v4
2023-04-29 4:46pm
Generated on Apr 29, 2023
2176 Total Images
View All Images
Dataset Split
Train Set 88%
1920Images
Valid Set %
0Images
Test Set 12%
256Images
Preprocessing
Tile: 8 rows x 16 columns
Filter Null: Require at least 50% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°