Dataset Versions

v18

2023-06-24 6:56pm

Generated on Jun 24, 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 75%
3711Images
Valid Set 15%
767Images
Test Set 10%
477Images

Preprocessing

Resize: Fit within 600x600
Modify Classes: 0 remapped, 4 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Hue: Between -59° and +59°
Brightness: Between -16% and +16%
Exposure: Between -17% and +17%

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