Dataset Versions

v2

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Generated on Jun 16, 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 87%
2721Images
Valid Set 9%
289Images
Test Set 4%
118Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Brightness: Between -35% and +35%
Cutout: 9 boxes with 27% size each
Bounding Box: Crop: 0% Minimum Zoom, 10% Maximum Zoom

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