Dataset Versions

v1

testingdetect

Generated on Mar 21, 2024

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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 76%
5712Images
Valid Set 13%
960Images
Test Set 11%
864Images

Preprocessing

Auto-Orient: Applied
Static Crop: 14-86% Horizontal Region, 14-86% Vertical Region
Resize: Stretch to 640x640
Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -10% and +10%

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