Dataset Versions

v6

balanceamento_corrigido

Generated on Nov 21, 2024

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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 89%
8535Images
Valid Set 6%
554Images
Test Set 6%
552Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 840x840

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Brightness: Between -25% and +25%
Blur: Up to 2.25px
Noise: Up to 1.98% of pixels

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