Dataset Versions

v7

2023-05-03 1:37pm

Generated on May 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 98%
399Images
Valid Set 1%
6Images
Test Set 0%
1Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±19° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -84° and +84°
Saturation: Between -34% and +34%
Brightness: Between -34% and +34%
Exposure: Between -27% and +27%
Blur: Up to 7px

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