Dataset Versions

v5

2024-10-03 9:53am

Generated on Oct 3, 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 87%
513Images
Valid Set 9%
50Images
Test Set 4%
25Images

Preprocessing

Auto-Orient: Applied
Static Crop: 31-49% Horizontal Region, 57-77% Vertical Region
Dynamic Crop: Class: Healthy
Resize: Stretch to 600x600
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 1 rows x 1 columns

Augmentations

Outputs per training example: 3
Bounding Box: Noise: Up to 0.54% of pixels