Dataset Versions

v13

First stage tiled

Generated on Jun 8, 2024

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%
20800Images
Valid Set 8%
2000Images
Test Set 4%
1000Images

Preprocessing

Auto-Orient: Applied
Static Crop: 18-82% Horizontal Region, 2-98% Vertical Region
Resize: Stretch to 1440x1440
Tile: 10 rows x 10 columns
Modify Classes: 0 remapped, 5 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down