Dataset Versions

v2

2024-12-22 6:10pm

Generated on Dec 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 86%
225Images
Valid Set 9%
24Images
Test Set 5%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 800x800

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -7° and +7°
Shear: ±4° Horizontal, ±4° Vertical
Grayscale: Apply to 10% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%

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