Dataset Versions

v4

2024-02-12 12:20pm

Generated on Feb 12, 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 69%
1710Images
Valid Set 23%
566Images
Test Set 9%
213Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -45° and +45°
Shear: ±26° Horizontal, ±26° Vertical
Brightness: Between -68% and +68%
Blur: Up to 2.6px
Cutout: 14 boxes with 16% size each

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