Dataset Versions

v4

without-crack aug

Generated on Nov 16, 2022

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%
14826Images
Valid Set 8%
1407Images
Test Set 4%
715Images

Preprocessing

Resize: Stretch to 800x800
Filter Null: Require at least 96% of images to contain annotations.

Augmentations

Outputs per training example: 3
Grayscale: Apply to 5% of images
Blur: Up to 0.75px
Noise: Up to 2% of pixels

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