Dataset Versions

v3

2023-05-29 6:35pm

Generated on May 29, 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.
Other Formats
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Dataset Split

Train Set 87%
465Images
Valid Set 8%
43Images
Test Set 5%
25Images

Preprocessing

Auto-Orient: Applied
Static Crop: 29-73% Horizontal Region, 10-84% Vertical Region
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Adaptive Equalization
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±16° Horizontal, ±15° Vertical
Brightness: Between -27% and +27%