Flower Computer Vision Dataset
143 Total Images
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Dataset Split
Train Set 94%
135Images
Valid Set 4%
5Images
Test Set 2%
3Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -8% and +8%
Exposure: Between -6% and +6%