Dataset Versions

v2

2024-08-19 1:25am

Generated on Aug 19, 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 94%
1851Images
Valid Set 4%
72Images
Test Set 2%
36Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Applied
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Grayscale: Apply to 10% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Exposure: Between -6% and +6%
Blur: Up to 1.6px
Noise: Up to 0.1% of pixels

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