Dataset Versions

v1

2024-08-08 8:36am

Generated on Aug 8, 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 92%
1020Images
Valid Set 6%
64Images
Test Set 2%
21Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 800x600
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Modify Classes: 10 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±7° Horizontal, ±2° Vertical
Brightness: Between -22% and +22%
Blur: Up to 0.9px
Noise: Up to 0.14% of pixels

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