Dataset Versions

v1

2024-11-09 8:54am

Generated on Nov 9, 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%
900Images
Valid Set 9%
88Images
Test Set 4%
41Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 512x512
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Crop: 10% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Brightness: Between -10% and +10%
Noise: Up to 0.06% of pixels

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