Dataset Versions

v23

2024-06-12 12-41pm

Generated on Jun 12, 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.
Other Formats
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Dataset Split

Train Set 88%
14006Images
Valid Set 6%
988Images
Test Set 6%
987Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1512x1612
Modify Classes: 5 remapped, 6 dropped

Augmentations

Outputs per training example: 2
Hue: Between -24° and +24°
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.87% of pixels