Dataset Versions

v3

2024-12-05 6:01pm

Generated on Dec 5, 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 78%
54Images
Valid Set 10%
7Images
Test Set 12%
8Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 420x420
Grayscale: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Shear: ±34° Horizontal, ±34° Vertical
Blur: Up to 2.5px
Noise: Up to 3.9% of pixels
Cutout: 1 boxes with 35% size each
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical

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