Dataset Versions

v2

2023-02-26 2:44am

Generated on Feb 25, 2023

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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 49%
27Images
Valid Set 4%
2Images
Test Set 47%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Shear: ±0° Horizontal, ±29° Vertical
Brightness: Between -39% and +39%
Exposure: Between -63% and +63%

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