Dataset Versions

v6

2024-10-02 2:09pm

Generated on Oct 2, 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%
345Images
Valid Set 9%
35Images
Test Set 4%
16Images

Preprocessing

Auto-Orient: Applied
Static Crop: 18-64% Horizontal Region, 18-72% Vertical Region
Resize: Fit (black edges) in 320x320
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1.6% of pixels

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