Dataset Versions

v2

RRMA_IngredientDetection_v2

Generated on Sep 16, 2024

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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
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Dataset Split

Train Set 90%
17034Images
Valid Set 5%
999Images
Test Set 5%
893Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 3 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1% of pixels
Mosaic: Applied