Dataset Versions

v2

2023-01-24 4:28pm

Generated on Jan 24, 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 87%
399Images
Valid Set 8%
38Images
Test Set 4%
20Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 1024x1024

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Cutout: 4 boxes with 12% size each
Bounding Box: Noise: Up to 10% of pixels

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