Dataset Versions

v1

2023-09-19 2:52pm

Generated on Sep 19, 2023

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%
582Images
Valid Set 8%
55Images
Test Set 4%
28Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region

Augmentations

Outputs per training example: 3
Flip: Horizontal
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -26% and +26%
Noise: Up to 5% of pixels
Cutout: 4 boxes with 14% size each

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