Dataset Versions

v3

2023-12-12 7:45pm

Generated on Dec 12, 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.
Other Formats
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Dataset Split

Train Set 74%
60Images
Valid Set 17%
14Images
Test Set 9%
7Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 5% of images
Brightness: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 2% of pixels