Dataset Versions

v5

2024-11-01 5:41am

Generated on Nov 1, 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 87%
8625Images
Valid Set 8%
832Images
Test Set 4%
410Images

Preprocessing

Auto-Orient: Applied
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±24° Horizontal, ±35° Vertical
Noise: Up to 0.58% of pixels
Mosaic: Applied
Bounding Box: Noise: Up to 0.2% of pixels

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