Dataset Versions

v1

2023-04-11 12:34pm

Generated on Apr 11, 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 87%
543Images
Valid Set 8%
51Images
Test Set 4%
27Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 1080x1080
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 6 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Saturation: Between -76% and +76%
Brightness: Between -52% and +52%
Bounding Box: Brightness: Between -79% and +79%

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