Dataset Versions

v5

2024-10-09 12:10am

Generated on Oct 9, 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 87%
426Images
Valid Set 9%
42Images
Test Set 4%
19Images

Preprocessing

Resize: Fill (with center crop) in 250x300
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -2% and +2%

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