Dataset Versions

v15

2024-07-31 6:24am

Generated on Jul 31, 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 88%
618Images
Valid Set 7%
48Images
Test Set 5%
36Images

Preprocessing

Static Crop: 0-100% Horizontal Region, 0-100% Vertical Region
Resize: Fit within 320x320
Tile: 1 rows x 3 columns

Augmentations

Outputs per training example: 3
Rotation: Between -2° and +2°
Blur: Up to 0.6px

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