Dataset Versions

v3

2023-11-06 10:59pm

Generated on Nov 6, 2023

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 88%
1038Images
Valid Set 8%
98Images
Test Set 4%
49Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -24° and +24°
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Cutout: 5 boxes with 16% size each
Mosaic: Applied
Bounding Box: Blur: Up to 2.5px
Bounding Box: Noise: Up to 5% of pixels

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