Dataset Versions

v5

2024-04-26 9:56am

Generated on Apr 26, 2024

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 89%
4053Images
Valid Set 7%
316Images
Test Set 4%
184Images

Preprocessing

Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Grayscale: Apply to 30% of images
Saturation: Between -30% and +30%
Exposure: Between -28% and +28%
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Crop: 0% Minimum Zoom, 24% Maximum Zoom
Bounding Box: Brightness: Between -30% and +30%
Bounding Box: Exposure: Between -25% and +25%