Dataset Versions

v13

2023-06-06 7:30pm

Generated on Jun 6, 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.
Other Formats
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Dataset Split

Train Set 90%
1687Images
Valid Set 10%
197Images
Test Set %
0Images

Preprocessing

Resize: Fit (black edges) in 960x960
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Vertical
90° Rotate: Clockwise, Upside Down
Rotation: Between -15° and +15°
Exposure: Between -15% and +15%
Blur: Up to 7px

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