Dataset Versions

v5

extraDataset0422

Generated on Apr 22, 2024

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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.
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Dataset Split

Train Set 86%
54Images
Valid Set 10%
6Images
Test Set 5%
3Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -4° and +4°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Mosaic: Applied

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1.7k images