Dataset Versions

v3

2024-09-28 5:28pm

Generated on Sep 28, 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 88%
183Images
Valid Set 8%
17Images
Test Set 4%
9Images

Preprocessing

Auto-Orient: Applied
Static Crop: 14-88% Horizontal Region, 15-92% Vertical Region
Resize: Fill (with center crop) in 250x300
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -11% and +11%
Blur: Up to 1.4px
Noise: Up to 1.37% of pixels

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