Dataset Versions

v3

2024-03-06 9:37am

Generated on Mar 6, 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 86%
30Images
Valid Set 9%
3Images
Test Set 6%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1024x1680

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 -34% and +34%
Brightness: Between -25% and +25%
Noise: Up to 1.97% of pixels
Bounding Box: Rotation: Between -23° and +23°

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