Dataset Versions

v2

2024-07-02 7:32am

Generated on Jul 2, 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 87%
3000Images
Valid Set 8%
287Images
Test Set 4%
142Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Shear: ±8° Horizontal, ±8° Vertical
Saturation: Between -26% and +26%
Blur: Up to 0.8px
Bounding Box: Brightness: Between -35% and +35%
Bounding Box: Noise: Up to 0.26% of pixels

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