Dataset Versions

v20

2023-05-14 12:01am

Generated on May 14, 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 80%
497Images
Valid Set 10%
64Images
Test Set 10%
61Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x360
Modify Classes: 0 remapped, 1 dropped
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Shear: ±5° Horizontal, ±5° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -25% and +25%
Blur: Up to 0.25px

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