Dataset Versions

v9

dataset9

Generated on Jun 12, 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.
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Dataset Split

Train Set 87%
8680Images
Valid Set 9%
863Images
Test Set 4%
436Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 3 remapped, 1 dropped
Filter Null: Require at least 60% of images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -30% and +30%
Exposure: Between -30% and +30%
Noise: Up to 7% of pixels
Mosaic: Applied
Bounding Box: Blur: Up to 4px

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