Dataset Versions

v3

2024-03-20 3:13pm

Generated on Mar 20, 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%
672Images
Valid Set 8%
63Images
Test Set 4%
32Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -14° and +14°
Shear: ±15° Horizontal, ±13° Vertical
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 1.76% of pixels