Dataset Versions

v3

v3

Generated on May 8, 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%
6582Images
Valid Set 8%
572Images
Test Set 4%
299Images

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