Dataset Versions

v3

2023-10-22 9:26pm

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: 4-87% Horizontal Region, 16-100% Vertical Region
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±16° Horizontal, ±10° Vertical
Saturation: Between -22% and +22%
Brightness: Between -21% and +21%

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