Dataset Versions

v21

2023-02-16 4:10pm

Generated on Feb 16, 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%
10776Images
Valid Set 8%
1032Images
Test Set 4%
508Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 480x480
Tile: 2 rows x 2 columns
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Hue: Between -41° and +41°
Brightness: Between -18% and +18%
Blur: Up to 4.5px
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Shear: ±12° Horizontal, ±12° Vertical

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