Dataset Versions

v21

STANDART TRAIN 2

Generated on Dec 10, 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 87%
932Images
Valid Set 8%
89Images
Test Set 4%
45Images

Preprocessing

Grayscale: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±45° Horizontal, ±0° Vertical

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