Dataset Versions

v17

2021-12-21 6:15pm

Generated on Dec 22, 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.
Other Formats
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Dataset Split

Train Set 86%
5274Images
Valid Set 10%
598Images
Test Set 5%
282Images

Preprocessing

Auto-Orient: Applied
Tile: 8 rows x 8 columns
Modify Classes: 2 remapped, 0 dropped
Filter Null: Require at least 96% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°

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