Dataset Versions

v13

2024-07-30 8:48pm

Generated on Jul 30, 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 88%
595Images
Valid Set 7%
50Images
Test Set 4%
30Images

Preprocessing

Grayscale: Applied
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -45° and +45°
Exposure: Between -15% and +15%

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