Dataset Versions

v12

2024-01-17 1:26am

Generated on Jan 16, 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 95%
10962Images
Valid Set 3%
402Images
Test Set 2%
200Images

Preprocessing

Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -50° and +50°
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%
Exposure: Between -14% and +14%
Mosaic: Applied

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