Dataset Versions
Versions
v6_with_aug_AO_Resize
v9
· 10 months ago
v6_with_aug_Resize
v8
· 10 months ago
v6_with_aug_AO
v7
· 10 months ago
v6_2024-02-23
v6
· 10 months ago
v4 train-val-test
v5
· 10 months ago
v4 fixed annotation
v4
· 10 months ago
2024-02-08 4:37pm
v3
· a year ago
2024-02-05 7:37pm
v2
· a year ago
2024-01-27 2:50am
v1
· a year ago
v7
v6_with_aug_AO
Generated on Feb 24, 2024
4349 Total Images
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Dataset Split
Train Set 84%
3654Images
Valid Set 10%
414Images
Test Set 6%
281Images
Preprocessing
Auto-Orient: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels