Dataset Versions

v13

2024-03-04 12:57am

Generated on Mar 3, 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 85%
999Images
Valid Set 10%
117Images
Test Set 5%
63Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Shear: ±45° Horizontal, ±45° Vertical
Hue: Between -180° and +180°
Saturation: Between -89% and +89%
Brightness: Between -56% and +56%
Blur: Up to 4.1px
Noise: Up to 10% of pixels
Cutout: 8 boxes with 20% size each
Bounding Box: Crop: 7% Minimum Zoom, 23% Maximum Zoom

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