Dataset Versions

v1

2024-08-30 5:41pm

Generated on Aug 30, 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 89%
2145Images
Valid Set 7%
172Images
Test Set 3%
82Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-86% Horizontal Region, 22-67% Vertical Region
Dynamic Crop: Class: Cracks
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -47% and +47%
Blur: Up to 8px

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