Dataset Versions

v4

2023-10-14 9:12pm

Generated on Oct 14, 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.
Other Formats
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Dataset Split

Train Set 84%
5928Images
Valid Set 11%
780Images
Test Set 5%
384Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Modify Classes: 2 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 20% of images
Hue: Between -25° and +25°
Cutout: 25 boxes with 5% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Exposure: Between -20% and +20%

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