Dataset Versions

v7

new cw tiling

Generated on Oct 6, 2021

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%
5069Images
Valid Set 9%
513Images
Test Set 4%
248Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 960x960
Tile: 2 rows x 2 columns
Modify Classes: 0 remapped, 3 dropped
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -35% and +35%
Exposure: Between -20% and +20%
Blur: Up to 2px
Noise: Up to 2% of pixels
Cutout: 3 boxes with 10% size each

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