Dataset Versions

v19

Inputs Only

Generated on Sep 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.
Other Formats
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Dataset Split

Train Set 82%
10096Images
Valid Set 12%
1434Images
Test Set 6%
709Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Tile: 2 rows x 2 columns
Modify Classes: 10 remapped, 10 dropped
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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