Dataset Versions

v2

2022-03-19 3:51am

Generated on Mar 19, 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%
147Images
Valid Set 8%
14Images
Test Set 5%
9Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-95% Vertical Region
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Cutout: 3 boxes with 10% size each

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