Dataset Versions

v4

2023-06-13 1:36pm

Generated on Jun 13, 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 91%
1839Images
Valid Set 8%
157Images
Test Set 1%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 800x800
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Brightness: Between -30% and +30%
Exposure: Between -20% and +20%
Blur: Up to 4px
Noise: Up to 3% of pixels

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