Dataset Versions

v15

640 flip 40-grey

Generated on Feb 24, 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 86%
6990Images
Valid Set 9%
734Images
Test Set 5%
395Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 40% of images

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