Dataset Versions

v9

2022-03-21 v9

Generated on Mar 21, 2022

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.
Other Formats
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Dataset Split

Train Set 97%
387Images
Valid Set 3%
14Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 15-82% Horizontal Region, 16-79% Vertical Region
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require at least 1% of images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±11° Horizontal, ±11° Vertical
Blur: Up to 6px
Mosaic: Applied

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