inovako Dataset

v11

2023-02-13 10:12pm

Generated on Feb 13, 2023

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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 95%
351Images
Valid Set 1%
3Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 39% Maximum Zoom
Rotation: Between -10° and +10°
Grayscale: Apply to 30% of images
Hue: Between -55° and +55°
Brightness: Between -34% and +34%
Noise: Up to 2% of pixels
Cutout: 4 boxes with 10% size each
Mosaic: Applied
Bounding Box: Shear: ±30° Horizontal, ±30° Vertical

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