Dataset Versions

v6

v6

Generated on Sep 19, 2022

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%
303Images
Valid Set 8%
29Images
Test Set 4%
14Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Shear: ±45° Horizontal, ±0° Vertical
Saturation: Between -40% and +40%
Exposure: Between -15% and +15%
Blur: Up to 10px