Dataset Versions

v3

2023-06-24 6:27pm

Generated on Jun 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 87%
1935Images
Valid Set 4%
98Images
Test Set 8%
187Images

Preprocessing

Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -22° and +22°
Shear: ±22° Horizontal, ±22° Vertical
Exposure: Between -22% and +22%
Mosaic: Applied

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