Dataset Versions

v10

2024-02-20 7:40am

Generated on Feb 20, 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 88%
1365Images
Valid Set 8%
123Images
Test Set 4%
67Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Modify Classes: 0 remapped, 11 dropped
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -10° and +10°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.85% of pixels

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