Tomato-segmentation Computer Vision Dataset
Versions
2090 Total Images
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Dataset Split
Train Set 92%
1929Images
Valid Set 8%
161Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 31% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Noise: Up to 1.92% of pixels
Camera Gain: Variance: 0.09