Dataset Versions

v10

ValidatedGUI_1

Generated on Nov 10, 2021

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 84%
1641Images
Valid Set 9%
176Images
Test Set 7%
144Images

Preprocessing

Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -6% and +6%
Bounding Box: Blur: Up to 10px

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