Dataset Versions

v18

2023-12-31 7:21pm

Generated on Dec 31, 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%
20937Images
Valid Set 9%
2109Images
Test Set 4%
917Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Fit (black edges) in 1728x1152
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Brightness: Between -20% and +20%
Blur: Up to 1.25px

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