Dataset Versions

v19

2023-08-21 4:43pm

Generated on Aug 21, 2023

Popular Download Formats

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 60%
252Images
Valid Set 20%
84Images
Test Set 20%
84Images

Preprocessing

Auto-Orient: Applied
Static Crop: 61-71% Horizontal Region, 48-70% Vertical Region
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -16° and +16°
Shear: ±17° Horizontal, ±24° Vertical
Saturation: Between -35% and +35%
Brightness: Between -31% and +31%
Exposure: Between -16% and +16%