Dataset Versions

v2

YoloV5-2

Generated on Nov 16, 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.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 85%
2796Images
Valid Set 11%
356Images
Test Set 4%
144Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Grayscale: Applied
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Noise: Up to 1.41% of pixels

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