Dataset Versions

v1

Nota-Volume-Size160

Generated on Nov 4, 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
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Dataset Split

Train Set 92%
1716Images
Valid Set 5%
101Images
Test Set 3%
51Images

Preprocessing

Resize: Stretch to 160x160

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -30% and +30%

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