Dataset Versions

v2

As5V02-2022-03-15 12:29pm

Generated on Mar 15, 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 91%
2322Images
Valid Set 6%
150Images
Test Set 4%
90Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 960x960
Tile: 2 rows x 3 columns
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Exposure: Between -9% and +9%

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