Dataset Versions

v6

2022-04-16 5:33am augmented

Generated on Apr 16, 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 98%
32431Images
Valid Set 1%
481Images
Test Set 0%
122Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Saturation: Between -65% and +65%
Brightness: Between -43% and +43%

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