Dataset Versions

v6

2024-10-02 5:57pm

Generated on Oct 2, 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 89%
1161Images
Valid Set 8%
100Images
Test Set 3%
40Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%

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