Dataset Versions
Versions
2023-12-04 9:41am
v10
· a year ago
2023-12-04 9:41am
v9
· a year ago
2023-12-04 9:41am
v8
· a year ago
2023-12-04 9:41am
v7
· a year ago
2023-12-04 9:41am
v6
· a year ago
2023-12-04 9:41am
v5
· a year ago
2023-12-04 9:41am
v4
· a year ago
2023-12-04 9:41am
v3
· a year ago
2023-12-04 9:40am
v2
· a year ago
2023-12-04 9:40am
v1
· a year ago
v10
2023-12-04 9:41am
Generated on Dec 4, 2023
30 Total Images
View All ImagesDataset Split
Train Set 100%
30Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 7% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Grayscale: Apply to 8% of images
Hue: Between -6° and +6°
Saturation: Between -5% and +5%
Brightness: Between -5% and +5%
Exposure: Between -4% and +4%
Blur: Up to 0.5px
Noise: Up to 1% of pixels