Dataset Versions

v9

2024-10-31 3:39pm

Generated on Oct 31, 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 97%
2505Images
Valid Set 2%
55Images
Test Set 1%
28Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 19-75% Vertical Region

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 0.5% of pixels

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