Dataset Versions

v8

2022-06-15 12:08pm

Generated on Jun 15, 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.
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Dataset Split

Train Set 88%
1644Images
Valid Set 8%
149Images
Test Set 4%
80Images

Preprocessing

Resize: Fit (white edges) in 832x832
Modify Classes: 0 remapped, 0 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -20% and +20%
Brightness: Between -30% and +30%
Blur: Up to 0.5px

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