Dataset Versions

v2

2023-12-11 2:07pm

Generated on Dec 11, 2023

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 87%
354Images
Valid Set 8%
34Images
Test Set 4%
17Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -20% and +20%
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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