Dataset Versions

v3

ratmod-better

Generated on May 10, 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%
855Images
Valid Set 8%
82Images
Test Set 4%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Grayscale: Apply to 17% of images
Brightness: Between -19% and +19%
Exposure: Between -9% and +9%
Blur: Up to 1.1px
Noise: Up to 1.25% of pixels

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