Dataset Versions

v15

128-128-5

Generated on Jul 5, 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 96%
234Images
Valid Set %
0Images
Test Set 4%
9Images

Preprocessing

Resize: Fit within 128x128

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -72% and +72%
Bounding Box: Exposure: Between -25% and +25%

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