Dataset Versions

v9

2024-12-26 1:46pm

Generated on Dec 26, 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%
5748Images
Valid Set 8%
547Images
Test Set 4%
273Images

Preprocessing

Resize: Fit (black edges) in 600x600
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -10% and +10%
Brightness: Between -18% and +18%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 1.01% of pixels

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