Dataset Versions

v8

Augmented_1

Generated on Oct 30, 2022

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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 92%
1197Images
Valid Set 4%
49Images
Test Set 4%
51Images

Preprocessing

Resize: Stretch to 416x416
Modify Classes: 1 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Noise: Up to 5% of pixels

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