Dataset Versions

v12

PDD_BRGHT_SAT_ROTCNTR_EXPOSURE_22-06-2024

Generated on Jun 22, 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.
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Dataset Split

Train Set 90%
2046Images
Valid Set 6%
137Images
Test Set 4%
90Images

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 -20% and +20%
Brightness: Between 0% and +10%
Exposure: Between -15% and +15%

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