Dataset Versions

v14

origin692-2-2-data_augument

Generated on Jun 15, 2022

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 88%
5820Images
Valid Set 8%
552Images
Test Set 4%
276Images

Preprocessing

Auto-Orient: Applied
Tile: 2 rows x 2 columns
Filter Null: Require at least 25% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -20% and +20%
Brightness: Between -10% and +10%

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