Dataset Versions

v18

2024-03-14 7:52pm

Generated on Mar 14, 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 92%
3744Images
Valid Set 4%
159Images
Test Set 4%
150Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 864x864

Augmentations

Outputs per training example: 3
Rotation: Between -8° and +8°
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -10% and +10%
Brightness: Between -15% and +15%

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