Dataset Versions

v1

2023-11-30 11:00am

Generated on Nov 30, 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%
342Images
Valid Set 8%
31Images
Test Set 4%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Shear: ±39° Horizontal, ±35° Vertical
Grayscale: Apply to 59% of images
Noise: Up to 19% of pixels

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