Dataset Versions

v2

2023-04-26 6:53pm

Generated on Apr 26, 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 91%
4197Images
Valid Set 5%
245Images
Test Set 4%
195Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±20° Horizontal, ±18° Vertical
Brightness: Between -36% and +36%
Exposure: Between -26% and +26%
Blur: Up to 1.5px
Noise: Up to 5% of pixels
Cutout: 4 boxes with 27% size each

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