Dataset Versions
Versions
20231112-MinAugmentations-Set5
v19
· a year ago
20231112-MinAugmentations-Set4
v18
· a year ago
20231112-MinAugmentations-Set3
v17
· a year ago
20231112-MinAugmentations-Set2
v16
· a year ago
20231112-MinAugmentations-Set1
v15
· a year ago
20231112-FullAugmentations-Set5
v14
· a year ago
20231112-FullAugmentations-Set4
v13
· a year ago
20231112-FullAugmentations-Set3
v12
· a year ago
20231112-FullAugmentations-Set2
v11
· a year ago
20231112-FullAugmentations-Set1
v10
· a year ago
20231112-NoAugmentations-Set0
v9
· a year ago
20231021-Augmentations-Set5
v8
· a year ago
20231021-Augmentations-Set4
v7
· a year ago
20231021-Augmentations-Set3
v6
· a year ago
20231021-Augmentations-Set2
v5
· a year ago
20231021-Augmentations-Set1
v4
· a year ago
v18
20231112-MinAugmentations-Set4
Generated on Nov 12, 2023
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TXT annotations and YAML config used with YOLOv8.
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TXT annotations and YAML config used with YOLOv5.
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648 Total Images
View All Images
Dataset Split
Train Set 88%
567Images
Valid Set 8%
54Images
Test Set 4%
27Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%