Dataset Versions

v5

2024-03-22 3:01pm

Generated on Mar 22, 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.
Other Formats
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Dataset Split

Train Set 88%
5295Images
Valid Set 8%
505Images
Test Set 4%
250Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±45° Vertical
Bounding Box: Rotation: Between -45° and +45°

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