Dataset Versions
Versions
2024-08-23 12:39pm
v33
· 5 months ago
2024-08-21 1:06pm
v31
· 5 months ago
2024-07-26 5:28pm
v29
· 6 months ago
2024-07-17 5:44am
v28
· 6 months ago
2024-07-16 12:32pm
v26
· 6 months ago
2024-07-16 3:17am
v23
· 6 months ago
2024-07-15 11:43am
v21
· 6 months ago
2024-07-15 7:11am
v20
· 6 months ago
2024-07-12 3:21pm
v18
· 6 months ago
2024-07-12 7:44am
v13
· 6 months ago
2024-07-12 2:31am
v11
· 6 months ago
2024-07-11 11:45am
v10
· 6 months ago
2024-07-11 1:56am
v9
· 6 months ago
2024-07-10 12:51pm
v8
· 6 months ago
2024-07-10 11:01am
v6
· 6 months ago
2024-07-10 8:23am
v5
· 6 months ago
2024-07-10 6:00am
v4
· 6 months ago
v33
2024-08-23 12:39pm
Generated on Aug 23, 2024
5108 Total Images
View All ImagesDataset Split
Train Set 87%
4422Images
Valid Set 7%
351Images
Test Set 7%
335Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -3° and +3°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 7% of images
Hue: Between -7° and +7°
Saturation: Between -7% and +7%
Brightness: Between -7% and +7%
Exposure: Between -8% and +8%
Blur: Up to 0.5px
Noise: Up to 0.18% of pixels
Cutout: 6 boxes with 2% size each