Dataset Versions

v10

2023-01-28 3:03am

Generated on Jan 27, 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%
432Images
Valid Set 7%
36Images
Test Set 6%
30Images

Preprocessing

Static Crop: 15-95% Horizontal Region, 24-97% Vertical Region
Resize: Stretch to 850x600

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Exposure: Between -13% and +13%
Cutout: 25 boxes with 3% size each

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