Dataset Versions

v9

2024-05-16 1:19am

Generated on May 15, 2024

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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 95%
16578Images
Valid Set 4%
738Images
Test Set 0%
54Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -13° and +13°

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