Dataset Versions

v4

2023-11-20 2:27pm

Generated on Nov 20, 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%
552Images
Valid Set 4%
28Images
Test Set 8%
53Images

Preprocessing

Static Crop: 25-75% Horizontal Region, 16-79% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -23° and +23°
Shear: ±27° Horizontal, ±23° Vertical
Grayscale: Apply to 36% of images

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