Dataset Versions

v1

2024-01-21 6:57pm

Generated on Jan 21, 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%
834Images
Valid Set 8%
80Images
Test Set 4%
38Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1280x1280
Grayscale: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Brightness: Between -25% and +25%
Blur: Up to 1.2px
Noise: Up to 0.89% of pixels

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