Dataset Versions

v7

As6V07-2022-03-22 6:16pm

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 86%
6179Images
Valid Set 10%
726Images
Test Set 4%
257Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Tile: 3 rows x 4 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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