Dataset Versions

v3

70-20-10_split_3xAug

Generated on Jan 9, 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%
6891Images
Valid Set 8%
593Images
Test Set 4%
331Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -40% and +40%
Noise: Up to 6% of pixels
Cutout: 6 boxes with 6% size each
Mosaic: Applied
Bounding Box: Blur: Up to 0.5px

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