Dataset Versions
Versions
2024-01-12 11:15am
v15
· a year ago
2023-12-18 10:55am
v14
· a year ago
2023-11-15 9:42pm
v13
· a year ago
final_augmentation
v12
· a year ago
all_train_lmage_level_augmentation
v11
· a year ago
all_bounding_box_augmentation
v10
· a year ago
all_lmage_level_augmentation
v9
· a year ago
all_non_augmentation
v8
· a year ago
2023-11-08 10:15am
v7
· a year ago
2023-11-07 11:18pm
v6
· a year ago
2023-11-07 4:57pm
v5
· a year ago
2023-11-07 3:28pm
v4
· a year ago
2023-11-07 2:51pm
v3
· a year ago
2023-11-07 11:36am
v2
· a year ago
2023-11-07 9:39am
v1
· a year ago
v9
all_lmage_level_augmentation
Generated on Nov 8, 2023
3067 Total Images
View All Images
Dataset Split
Train Set 88%
2685Images
Valid Set 8%
256Images
Test Set 4%
126Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±20° Horizontal, ±20° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 10% of pixels
Cutout: 6 boxes with 10% size each