Dataset Versions

v8

changed-augmentations

Generated on Jan 26, 2022

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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%
559Images
Valid Set 3%
17Images
Test Set 2%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 512x320

Augmentations

Outputs per training example: 10
Rotation: Between -3° and +3°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 0.5px