Dataset Versions

v9

2024-10-13 2:08pm

Generated on Oct 13, 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.
Other Formats
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Dataset Split

Train Set 83%
2875Images
Valid Set 7%
237Images
Test Set 10%
365Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1200x1500
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 5
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.2px
Noise: Up to 1.05% of pixels

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