Dataset Versions

v2

2023-05-07 9:50pm

Generated on May 7, 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 84%
69Images
Valid Set 10%
8Images
Test Set 6%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 75% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 52% of images
Saturation: Between -25% and +25%
Exposure: Between -22% and +22%
Mosaic: Applied
Bounding Box: Brightness: Between -31% and +31%
Bounding Box: Exposure: Between -26% and +26%

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