Dataset Versions

v13

2023-06-14 1:33pm

Generated on Jun 14, 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 88%
8636Images
Valid Set 8%
766Images
Test Set 4%
438Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 300x300
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -12° and +12°

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