Dataset Versions

v1

2023-10-29 12:29pm

Generated on Oct 29, 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.
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Dataset Split

Train Set 88%
21Images
Valid Set 8%
2Images
Test Set 4%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1440x2048

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Grayscale: Apply to 18% of images
Saturation: Between -68% and +68%
Brightness: Between -25% and +25%
Noise: Up to 3% of pixels
Bounding Box: Rotation: Between -45° and +45°

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