Dataset Versions

v1

2023-07-03 12:13pm

Generated on Jul 3, 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 88%
462Images
Valid Set 6%
33Images
Test Set 6%
33Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 70% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -60° and +60°
Saturation: Between -40% and +40%
Brightness: Between -40% and +40%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 7% of pixels
Cutout: 10 boxes with 15% size each
Mosaic: Applied

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