Dataset Versions

v2

2023-05-04 1:32am

Generated on May 3, 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.
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Dataset Split

Train Set 88%
1269Images
Valid Set 8%
122Images
Test Set 4%
58Images

Preprocessing

Resize: Stretch to 320x320
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -30% and +30%
Brightness: Between -30% and +30%
Blur: Up to 3px

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