Dataset Versions

v8

2024-07-03 12:40pm

Generated on Jul 3, 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 77%
1812Images
Valid Set 12%
278Images
Test Set 12%
275Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 51% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±35° Horizontal, ±28° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 2.5px

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