Dataset Versions

v3

2024-08-19 2:50pm

Generated on Aug 19, 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 76%
1689Images
Valid Set 18%
401Images
Test Set 6%
137Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±29° Horizontal, ±12° Vertical
Brightness: Between -13% and +13%
Blur: Up to 11.1px
Cutout: 5 boxes with 39% size each
Bounding Box: Noise: Up to 5.05% of pixels

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