Dataset Versions

v5

2023-10-17 10:45am

Generated on Oct 17, 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%
999Images
Valid Set 8%
96Images
Test Set 4%
47Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 3 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -9% and +9%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 6.75px
Noise: Up to 5% of pixels
Cutout: 6 boxes with 10% size each
Bounding Box: Exposure: Between -15% and +15%

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