Dataset Versions

v24

2024-12-21 1:50am

Generated on Dec 20, 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 88%
420Images
Valid Set 8%
40Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 224x224

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -19° and +19°
Shear: ±22° Horizontal, ±22° Vertical
Grayscale: Apply to 24% of images
Hue: Between -45° and +45°
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Exposure: Between -19% and +19%
Blur: Up to 3.9px
Noise: Up to 3.5% of pixels
Cutout: 7 boxes with 15% size each