Dataset Versions

v9

Test-9

Generated on Mar 6, 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.
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Dataset Split

Train Set 75%
3455Images
Valid Set 17%
764Images
Test Set 8%
384Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 10% of images to contain annotations.

Augmentations

Outputs per training example: 3
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Rotation: Between -45° and +45°
Bounding Box: Shear: ±25° Horizontal, ±25° Vertical

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