Dataset Versions

v11

2023-02-05 2:34pm

Generated on Feb 5, 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 88%
4350Images
Valid Set 8%
403Images
Test Set 4%
215Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit within 416x416
Grayscale: Applied
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -30° and +30°

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