Dataset Versions

v1

prete2

Generated on May 30, 2024

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 100%
1056Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 5% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -3° and +3°
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 10% of images
Brightness: Between -15% and +15%
Blur: Up to 4px

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