Dataset Versions

v16

400 cropped panels with text with Augmentation

Generated on Apr 18, 2024

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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 95%
1170Images
Valid Set 5%
56Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Dynamic Crop: Class: guide-sign
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 42 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -13° and +13°
Shear: ±11° Horizontal, ±12° Vertical
Exposure: Between -14% and +14%
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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