Dataset Versions

v3

v3

Generated on Jun 1, 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 87%
3160Images
Valid Set 8%
300Images
Test Set 4%
155Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 608x342
Filter Null: Require at least 85% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Noise: Up to 3% of pixels

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