Dataset Versions

v3

example_training_ACCURATE

Generated on Mar 29, 2022

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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%
935Images
Valid Set 5%
54Images
Test Set 3%
27Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 5
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Cutout: 6 boxes with 3% size each