Dataset Versions

v2

2024-05-28 12:48pm

Generated on May 28, 2024

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.
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Dataset Split

Train Set 88%
432Images
Valid Set 8%
41Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-96% Horizontal Region, 8-88% Vertical Region
Resize: Stretch to 128x128
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -25% and +25%
Blur: Up to 1.8px
Noise: Up to 0.81% of pixels

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