Dataset Versions

v12

2024-07-13 7:06am

Generated on Jul 13, 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%
10419Images
Valid Set 9%
999Images
Test Set 2%
228Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Blur: Up to 1px
Noise: Up to 1.76% of pixels

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