Dataset Versions

v5

2023-06-19 6:32pm

Generated on Jun 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.
Other Formats
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Dataset Split

Train Set 87%
588Images
Valid Set 8%
55Images
Test Set 5%
33Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 19% Maximum Zoom
Grayscale: Apply to 25% of images
Hue: Between -22° and +22°
Saturation: Between -25% and +25%
Brightness: Between -23% and +23%
Blur: Up to 1px
Noise: Up to 3% of pixels
Bounding Box: Rotation: Between -6° and +6°
Bounding Box: Shear: ±6° Horizontal, ±7° Vertical

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