Cards Dataset

v5

2021-10-13 7:44pm

Generated on Oct 13, 2021

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Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set %
0Images
Valid Set %
0Images
Test Set 100%
55Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 500x500
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Brightness: Between -20% and +20%
Blur: Up to 0.5px
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Rotation: Between -20° and +20°
Bounding Box: Shear: ±20° Horizontal, ±20° Vertical
Bounding Box: Brightness: Between -25% and +25%

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