Dataset Versions

v21

2023-07-04 11:00am

Generated on Jul 4, 2023

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 87%
1530Images
Valid Set 8%
145Images
Test Set 4%
74Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 320x320
Grayscale: Applied
Modify Classes: 0 remapped, 4 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Rotation: Between -19° and +19°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 0.75px
Bounding Box: Noise: Up to 1% of pixels

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