Dataset Versions

v1

2023-05-17 12:58pm

Generated on May 17, 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.
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Dataset Split

Train Set 88%
1740Images
Valid Set 6%
120Images
Test Set 6%
122Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -39° and +39°
Grayscale: Apply to 25% of images
Saturation: Between -85% and +85%
Mosaic: Applied
Bounding Box: Rotation: Between -15° and +15°

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