Dataset Versions

v2

2023-11-23 8:16pm

Generated on Nov 24, 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 74%
798Images
Valid Set 17%
188Images
Test Set 8%
91Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 800x800
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -28° and +28°
Shear: ±16° Horizontal, ±21° Vertical
Cutout: 1 boxes with 35% size each

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