Dataset Versions

v2

2024-02-22 5:02am

Generated on Feb 22, 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.
Other Formats
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Dataset Split

Train Set 88%
3396Images
Valid Set 8%
292Images
Test Set 4%
156Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Shear: ±4° Horizontal, ±8° Vertical
Blur: Up to 1px
Noise: Up to 2% of pixels