Dataset Versions

v6

516X516 with aug

Generated on Mar 29, 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%
3147Images
Valid Set 8%
300Images
Test Set 4%
150Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 512x512
Modify Classes: 0 remapped, 37 dropped

Augmentations

Outputs per training example: 3
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 15% size each