Dataset Versions

v9

2023-07-27 9:12pm

Generated on Jul 27, 2023

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 87%
279Images
Valid Set 8%
27Images
Test Set 4%
13Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -76° and +76°
Brightness: Between -52% and +52%
Exposure: Between -29% and +29%
Blur: Up to 4px
Cutout: 3 boxes with 16% size each
Mosaic: Applied
Bounding Box: Rotation: Between -18° and +18°

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