Dataset Versions

v4

2022-06-05 1:49pm

Generated on Jun 5, 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 73%
441Images
Valid Set 19%
117Images
Test Set 7%
45Images

Preprocessing

Auto-Orient: Applied
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 1
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -25% and +25%
Cutout: 3 boxes with 1% size each
Bounding Box: Brightness: Between -36% and +36%
Bounding Box: Noise: Up to 5% of pixels

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