Dataset Versions

v16

2024-05-19 9:41pm

Generated on May 19, 2024

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 95%
1813Images
Valid Set 4%
75Images
Test Set 1%
20Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-70% Horizontal Region, 20-70% Vertical Region
Resize: Fit within 600x800

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±13° Horizontal, ±14° Vertical

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