Dataset Versions

v3

2023-03-09 8:33pm

Generated on Mar 9, 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 87%
4377Images
Valid Set 8%
417Images
Test Set 4%
209Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 600x600
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Modify Classes: 3 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%

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