Dataset Versions

v3

2024-05-17 4:40pm

Generated on May 17, 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.
Other Formats
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Dataset Split

Train Set 88%
381Images
Valid Set 8%
36Images
Test Set 4%
18Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Upside Down
Crop: 0% Minimum Zoom, 1% Maximum Zoom
Shear: ±3° Horizontal, ±4° Vertical
Grayscale: Apply to 2% of images
Hue: Between -19° and +19°
Saturation: Between -12% and +12%
Brightness: Between 0% and +20%
Exposure: Between -5% and +5%
Noise: Up to 1.33% of pixels

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