Dataset Versions

v13

PDD_V13_BRGHT_SAT_ROTCNTR_EXP_24-06-2024

Generated on Jun 23, 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%
2613Images
Valid Set 7%
200Images
Test Set 4%
119Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 256x256
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Counter-Clockwise
Saturation: Between -15% and +15%
Brightness: Between 0% and +5%
Exposure: Between -15% and +15%

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