Dataset Versions

v36

2024-11-25 5:17pm

Generated on Nov 25, 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%
768Images
Valid Set 8%
73Images
Test Set 4%
35Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 360x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 5% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 10% of images
Hue: Between -5° and +5°
Saturation: Between -20% and +20%
Brightness: Between 0% and +10%
Noise: Up to 0.2% of pixels

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