Dataset Versions

v9

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Generated on Apr 5, 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.
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Dataset Split

Train Set 82%
51Images
Valid Set 10%
6Images
Test Set 8%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 1 remapped, 0 dropped
Filter Null: Require at least 44% of images to contain annotations.

Augmentations

Outputs per training example: 3
Noise: Up to 16% of pixels

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