Dataset Versions

v13

Right far view only 1280-720 small augmentation

Generated on Dec 6, 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 82%
264Images
Valid Set 12%
38Images
Test Set 6%
19Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.
Filter by Tag: 1 required, 3 dropped

Augmentations

Outputs per training example: 2
Bounding Box: Rotation: Between -3° and +3°
Bounding Box: Blur: Up to 1.5px

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