Dataset Versions
v3
2023-06-22 2:42pm
Generated on Jun 22, 2023
134 Total Images
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Dataset Split
Train Set 65%
87Images
Valid Set 22%
29Images
Test Set 13%
18Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±9° Horizontal, ±8° Vertical
Hue: Between -13° and +13°
Brightness: Between -36% and +36%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 6% of pixels
Cutout: 11 boxes with 8% size each
Mosaic: Applied