Dataset Versions

v2

2022-05-18 3:54pm

Generated on May 18, 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%
8664Images
Valid Set 6%
540Images
Test Set 2%
180Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -45° and +45°
Brightness: Between -37% and +37%
Exposure: Between -23% and +23%
Cutout: 2 boxes with 20% size each
Mosaic: Applied

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