Dataset Versions

v1

2023-08-04 2:29pm

Generated on Aug 4, 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%
1323Images
Valid Set 8%
127Images
Test Set 4%
60Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -21° and +21°
Shear: ±30° Horizontal, ±45° Vertical
Saturation: Between -32% and +32%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Cutout: 7 boxes with 10% size each
Mosaic: Applied

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