Dataset Versions

v3

full dataset v3

Generated on Mar 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 87%
4593Images
Valid Set 8%
435Images
Test Set 4%
225Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 4% of pixels

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