Dataset Versions

v5

refined-augmented

Generated on Jun 28, 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 82%
1342Images
Valid Set 18%
300Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Grayscale: Apply to 5% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Noise: Up to 1.41% of pixels

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