Dataset Versions

v3

2022-08-16 12:47am

Generated on Aug 16, 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.
Other Formats
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Dataset Split

Train Set 95%
108Images
Valid Set 2%
2Images
Test Set 4%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 23% of images
Brightness: Between -55% and +55%
Exposure: Between -26% and +26%
Blur: Up to 1px
Cutout: 7 boxes with 10% size each
Bounding Box: Noise: Up to 9% of pixels

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