Dataset Versions

v4

1024x1024

Generated on May 6, 2022

Popular Download Formats

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 85%
9360Images
Valid Set 15%
1712Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 1024x1024
Tile: 4 rows x 4 columns
Modify Classes: 9 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -25% and +25%
Brightness: Between 0% and +25%

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