Dataset Versions

v3

2023-08-27 9:48pm

Generated on Aug 27, 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 94%
1989Images
Valid Set 6%
133Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 6 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±35° Horizontal, ±41° Vertical
Hue: Between -9° and +9°
Brightness: Between 0% and +45%
Exposure: Between -18% and +18%
Blur: Up to 0.75px
Noise: Up to 5% of pixels
Cutout: 16 boxes with 8% size each
Mosaic: Applied

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