Dataset Versions

v8

2024-10-16 6:36am

Generated on Oct 16, 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 89%
564Images
Valid Set 8%
53Images
Test Set 3%
19Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Resize: Fit within 480x640

Augmentations

Outputs per training example: 3
Hue: Between -17° and +17°
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%
Exposure: Between -10% and +10%
Noise: Up to 1.21% of pixels

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