Dataset Versions

v6

2023-06-28 6:44am

Generated on Jun 28, 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%
594Images
Valid Set 8%
56Images
Test Set 5%
31Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Shear: ±4° Horizontal, ±4° Vertical
Grayscale: Apply to 60% of images
Hue: Between -43° and +43°
Brightness: Between -9% and +9%
Exposure: Between -8% and +8%

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