Dataset Versions

v41

2024-01-22 2:19pm

Generated on Jan 22, 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 91%
747Images
Valid Set 5%
44Images
Test Set 3%
26Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±9° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -16° and +16°
Saturation: Between -16% and +16%
Brightness: Between -23% and +23%
Exposure: Between -13% and +13%
Noise: Up to 1.96% of pixels
Mosaic: Applied

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