Dataset Versions

v2

2024-11-13 5:50pm

Generated on Nov 13, 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 88%
4224Images
Valid Set 8%
402Images
Test Set 4%
200Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Dynamic Crop: Class: Text
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 1 columns

Augmentations

Outputs per training example: 3
Rotation: Between -12° and +12°
Shear: ±15° Horizontal, ±9° Vertical
Cutout: 3 boxes with 14% size each
Mosaic: Applied

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