Dataset Versions

v8

2024-05-16 1:23pm

Generated on May 16, 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 87%
2739Images
Valid Set 8%
260Images
Test Set 4%
132Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 800x800
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%

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