Dataset Versions

v10

2024-03-05 10:06pm

Generated on Mar 5, 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 86%
4239Images
Valid Set 11%
529Images
Test Set 4%
173Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -24° and +24°
Saturation: Between -32% and +32%
Brightness: Between -23% and +23%
Exposure: Between -11% and +11%
Blur: Up to 4.7px
Noise: Up to 1.8% of pixels
Cutout: 3 boxes with 7% size each

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