Dataset Versions

v2

2022-06-17 4:15pm

Generated on Jun 17, 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 86%
18Images
Valid Set 10%
2Images
Test Set 5%
1Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -1° and +1°
Shear: ±1° Horizontal, ±1° Vertical
Saturation: Between -1% and +1%
Brightness: Between -1% and +1%
Exposure: Between -1% and +1%

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