Dataset Versions

v3

Dataset_V1.0_with_Augmentation

Generated on Mar 15, 2024

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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 86%
9540Images
Valid Set 8%
909Images
Test Set 5%
608Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 320x320
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between 0% and +75%
Bounding Box: Brightness: Between -65% and +65%