Dataset Versions

v5

v5

Generated on May 9, 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 88%
7437Images
Valid Set 8%
693Images
Test Set 4%
347Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Blur: Up to 2.5px
Noise: Up to 5% of pixels