Test 1 Dataset

v5

2023-12-17 11:23pm

Generated on Dec 17, 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 81%
4842Images
Valid Set 13%
768Images
Test Set 6%
354Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 480x480
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 2
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Brightness: Between -2% and +2%
Exposure: Between -2% and +2%
Noise: Up to 2% of pixels