Dataset Versions

v5

2023-04-18 9:33am

Generated on Apr 18, 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 83%
204Images
Valid Set 9%
23Images
Test Set 8%
19Images

Preprocessing

Auto-Orient: Applied
Static Crop: 9-94% Horizontal Region, 46-100% Vertical Region

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between 0% and +25%
Bounding Box: Rotation: Between -11° and +11°