Dataset Versions

v5

2023-10-22 9:27pm

Generated on Oct 22, 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 87%
576Images
Valid Set 8%
55Images
Test Set 4%
28Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-74% Horizontal Region, 1-97% Vertical Region
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Shear: ±14° Horizontal, ±4° Vertical
Saturation: Between -15% and +15%
Brightness: Between -22% and +22%
Bounding Box: Shear: ±15° Horizontal, ±9° Vertical

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