Dataset Versions

v4

2023-09-23 10:38pm

Generated on Sep 23, 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 91%
5523Images
Valid Set 5%
275Images
Test Set 4%
243Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 880x880
Modify Classes: 4 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -21° and +21°
Brightness: Between -45% and +45%
Blur: Up to 3.25px

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