Dataset Versions

v6

As6V62022-03-22 3:19pm

Generated on Mar 22, 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%
2184Images
Valid Set 10%
244Images
Test Set 3%
88Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x960
Grayscale: Applied
Tile: 2 rows x 2 columns
Modify Classes: 3 remapped, 1 dropped
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Grayscale: Apply to 100% of images
Exposure: Between -10% and +10%

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