Dataset Versions

v2

2023-01-12 3:39pm

Generated on Jan 12, 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 88%
84Images
Valid Set 8%
8Images
Test Set 4%
4Images

Preprocessing

Auto-Orient: Applied
Static Crop: 16-69% Horizontal Region, 25-81% Vertical Region

Augmentations

Outputs per training example: 3
Hue: Between -180° and +180°
Brightness: Between -11% and +11%
Exposure: Between -38% and +38%
Noise: Up to 1% of pixels
Bounding Box: Brightness: Between -58% and +58%

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