Dataset Versions

v9

latest

Generated on May 26, 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%
8387Images
Valid Set 8%
740Images
Test Set 4%
419Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 500x500
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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