Dataset Versions

v1

2023-10-13 9:07am

Generated on Oct 13, 2023

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 87%
10641Images
Valid Set 8%
965Images
Test Set 6%
683Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 30 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -21° and +21°
Shear: ±19° Horizontal, ±19° Vertical
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 2 boxes with 16% size each