Dataset Versions

v1

2023-07-04 8:43am

Generated on Jul 4, 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.
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Dataset Split

Train Set 87%
9624Images
Valid Set 6%
688Images
Test Set 6%
688Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x640
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 12 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Crop: 30% Minimum Zoom, 70% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 30% of images
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Cutout: 15 boxes with 3% size each
Mosaic: Applied
Bounding Box: Blur: Up to 1px