Dataset Versions

v9

dorothy

Generated on Jul 29, 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 69%
612Images
Valid Set 20%
175Images
Test Set 12%
106Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 1
Grayscale: Apply to 5% of images
Hue: Between -89° and +89°
Saturation: Between -68% and +68%
Blur: Up to 3.5px
Noise: Up to 20% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -20° and +20°
Bounding Box: Brightness: Between -35% and +35%
Bounding Box: Exposure: Between -30% and +30%

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