Dataset Versions

v1

2023-03-27 11:35pm

Generated on Mar 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 88%
1260Images
Valid Set 8%
120Images
Test Set 4%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 448x448

Augmentations

Outputs per training example: 3
Rotation: Between -6° and +6°
Hue: Between -17° and +17°
Saturation: Between -17% and +17%
Brightness: Between -17% and +17%
Exposure: Between -17% and +17%
Blur: Up to 0.75px
Cutout: 4 boxes with 3% size each
Mosaic: Applied

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