Dataset Versions

v2

2022-05-02 9:53pm

Generated on May 3, 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 83%
2244Images
Valid Set 15%
400Images
Test Set 2%
60Images

Preprocessing

Auto-Orient: Applied
Tile: 2 rows x 2 columns
Modify Classes: 9 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between 0% and +25%

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