Dataset Versions

v7

2023-08-05 10:29pm

Generated on Aug 5, 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%
1113Images
Valid Set 8%
104Images
Test Set 4%
53Images

Preprocessing

Auto-Orient: Applied
Static Crop: 24-75% Horizontal Region, 25-75% Vertical Region

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±20° Horizontal, ±20° Vertical
Grayscale: Apply to 50% of images
Saturation: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 15% of pixels
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -25° and +25°