Dataset Versions

v20

2022-04-29 10:57pm

Generated on Apr 29, 2022

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 79%
435Images
Valid Set 14%
78Images
Test Set 7%
37Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-72% Horizontal Region, 30-95% Vertical Region
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -49% and +49%
Cutout: 3 boxes with 10% size each

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