Dataset Versions
Versions
2023-02-24 9:09pm
v20
· 2 years ago
2023-02-24 9:09pm
v19
· 2 years ago
2023-02-24 9:08pm
v18
· 2 years ago
2023-02-24 9:06pm
v17
· 2 years ago
2023-02-24 9:06pm
v16
· 2 years ago
2023-02-24 9:04pm
v15
· 2 years ago
2023-02-24 9:03pm
v14
· 2 years ago
2023-02-24 9:02pm
v13
· 2 years ago
2023-02-24 8:42pm
v12
· 2 years ago
2023-02-24 8:40pm
v11
· 2 years ago
2023-02-24 8:38pm
v10
· 2 years ago
2023-02-24 8:36pm
v9
· 2 years ago
2023-02-24 8:34pm
v8
· 2 years ago
2023-02-24 8:33pm
v7
· 2 years ago
2023-02-24 8:30pm
v6
· 2 years ago
2023-02-24 8:27pm
v5
· 2 years ago
2023-02-24 8:25pm
v4
· 2 years ago
2023-02-24 8:21pm
v3
· 2 years ago
2023-02-24 8:19pm
v2
· 2 years ago
2023-02-24 8:02pm
v1
· 2 years ago
v7
2023-02-24 8:33pm
Generated on Feb 24, 2023
192 Total Images
View All Images
Dataset Split
Train Set 100%
192Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Grayscale: Apply to 10% of images
Hue: Between -45° and +45°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -15% and +15%
Cutout: 3 boxes with 15% size each