Dataset Versions

v11

2024-11-28 9:57am

Generated on Nov 28, 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 88%
804Images
Valid Set 8%
76Images
Test Set 4%
38Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1024x1024
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 5% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Brightness: Between -18% and +18%
Bounding Box: Flip: Horizontal, Vertical

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