Wheat head annotation Computer Vision Model
Versions
120 Total Images
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Dataset Split
Train Set 88%
105Images
Valid Set 8%
10Images
Test Set 4%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -9° and +9°
Hue: Between -6° and +6°
Exposure: Between -8% and +8%
Bounding Box: Shear: ±10° Horizontal, ±5° Vertical