Dataset Versions

v2

2024-07-22 5:36am

Generated on Jul 22, 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.
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Dataset Split

Train Set 90%
462Images
Valid Set 8%
41Images
Test Set 2%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 320x320
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Shear: ±11° Horizontal, ±8° Vertical
Grayscale: Apply to 15% of images
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Noise: Up to 0.1% of pixels

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