Dataset Versions
Versions
2023-11-30 7:04pm
v9
· a year ago
2023-11-30 7:04pm
v8
· a year ago
2023-11-30 7:03pm
v7
· a year ago
2023-11-30 7:00pm
v6
· a year ago
2023-11-30 6:56pm
v5
· a year ago
2023-11-30 6:34pm
v4
· a year ago
2023-11-30 6:33pm
v3
· a year ago
2023-11-30 5:58pm
v2
· a year ago
2023-11-30 5:57pm
v1
· a year ago
v2
2023-11-30 5:58pm
Generated on Nov 30, 2023
27 Total Images
View All Images
Dataset Split
Train Set 89%
24Images
Valid Set 7%
2Images
Test Set 4%
1Images
Preprocessing
Auto-Orient: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Hue: Between -4° and +4°
Saturation: Between -8% and +8%
Brightness: Between -3% and +3%
Exposure: Between -2% and +2%