Dataset Versions

v12

2024-03-26 4:29pm

Generated on Mar 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%
5814Images
Valid Set 8%
551Images
Test Set 4%
279Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 7-85% Vertical Region

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -31% and +31%
Exposure: Between -42% and +42%
Cutout: 11 boxes with 13% size each